Research Fellow resume examples

Check our hand-picked these Research Fellow resume examples for your next role and increase your chances of getting hired. For a quick start with your own resume, you can edit any of our examples. It takes up to 10 minutes to create a resume using Resumist builder. Download your perfect resume and start your job application today!

Skillful Research Fellow resume

Jiansheng Wu
Experience
Lab Manager 01/2011 Current Wake Forest University School of Medicine Winston Salem, NC
  • 1) Lab management ( MS access inventory database system for chemical, cell line, antibody), peoplesoft ordering, equipment maintenance ,etc.
  • 2)Training and supervision of lab personnel (Ph.D student, lab technician).
Research Associate 08/2004 Current Wake Forest University School of Medicine Winston Salem, NC
  • Project 1- Diet(omega-3 & omega-6) and Prostate Cancer- PTEN and LOX or COX double knockout mice model Project 2 - Inflammation and Prostate Cancer (1)Rag1 and PTEN double knockout mice model, Bone marrow adoptive transfer (2)CD4 and PTEN double knockout mice model (3)CD8 and PTEN double knockout mice model (4)Jh and PTEN double out mice model Project 3 - Dip13beta(APPL2) gene konockout mice Project 4 - PTEN knockout and p53 mutation and Prostate Cancer Metastasis Project 5 High Myc mice model -Prostate cancer Project 6 PERK and Prostate cancer-PTEN and PERK double knockout Project 7 SDC1 and Prostate cancer-PTEN and SDC1 double knockout Project 8 Prostate cancer stem cell.
Post-Doctoral Research Fellow 03/2002 06/2004 Wake Forest University School of Medicine Winston Salem, NC
  • Project - Dip13alpha(APPL1) and Dip13beta (APPL2) and cell cycle arrest.
03/2001 03/2002 North Carolina State University Raleigh, NC
Education and Training
2000 Ph.D: Nanjing Agricultural University - Molecular Plant Pathology Nanjing, Jiangsu Province, China Molecular Plant Pathology
1993 Master of Science: Nanjing Agricultural University - Molecular Plant Pathology Nanjing, Jiangsu Province, China Molecular Plant Pathology
1988 Bachelor of Science: Anhui Normal University - Biology Wuhu, Anhui, China Biology
Publications
Suburu, J., Shi, L.H., Wu, J.S, Wang, S.H., Samuel, M., Thomas, M.J., Kock, N.D., Yang, G.Y., Kridel, S., and Chen, Y.Q. Fatty acid synthase is required for mammary gland development and milk production during lactation. Am J Physiol Endocrinal Metab 2014 306:E1132-E1143. *Gu, Z.N., Wu, J.S, Wang,S.H., Suburu, J., Chen, H.Q., Thomas, M.J., Shi, L.H., Edwards,I.J, Berquin, I.M., Chen, Y.Q. Polyunsaturated fatty acids affect the localization and signaling of PIP3/AKT in prostate cancer cells 2013 Carcinogenesis 2013 34(9):1968-1975 *Wang, S.H., Wu, J.S, Suburu, J., Gu, Z.N., Cai, J., Axanova, L.S., Cramer, S.D., Thomas, M.J., Perry, D.L., Edwards, I.J., Mucci, L.A., Loda, M.F., Sui, G.C., Berquin, I.M., Chen, Y.Q. Effect of dietary polyunsaturated fatty acids on castration-resistant prostate cancer Carcinogenesis. 2012 Feb;33(2):404-12 *Wang, L, Chen, W, Feng, Y, Ren Y, Gu, Z, Chen, H, Wang, H, Thomas, M.J., Zhang, B., Berquin, I.M., Li, Y., Wu, J.S. , Zhang, H., Song, Y., Liu, X., Norris, J.S., Wang, S., Du, P., Shen, J., Wang, N., Yang, Y., Wang, W., Feng, L., Ratledge, C., Zhang, H., Chen, Y.Q. Genome characterization of the oleaginous fungus Mortierella alpina. PLoS One. 2011;6(12):e28319. *Hu, Y.P, Sun, H.G, Owens, R.T, Gu Z.N., Wu, J.S., Chen, Y.Q., O'Flaherty J.T., Edwards, I.J.. Syndecan-1-dependent suppression of PDK1/Akt/Bad signaling by docosahexaenoic acid induces apoptosis in prostate cancer. Neoplasia. 2010 Oct;12(10):826-36. *Hu, Y.P, Sun, H.G, Owens, R.T, Wu, J.S., Chen , Y.Q., Berquin, I.M., Perry, D.L., O'Flaherty J.T., Edwards, I.J. Decorin suppresses prostate tumor growth through inhibition of epidermal growth factor and androgen receptor pathways. Neoplasia. 2009 Oct;11(10):1042-53. *Berquin, I.M., Min, Y.N., Wu, R.P., Wu, J.S., Perry, D., Cline, J.M., Thomas, M.J., Thornburg, T., Kulik, G., Smith, A., Edwards, I.J., D'Agostino, R., Zhang ,H., Wu ,H., Kang, J.X., Chen, Y.Q. Modulation of prostate cancer genetic risk by omega-3 and omega-6 fatty acids. Journal of Clinical Investigation 2007 Jul;117(7):1866-75. *Hu, S.J., Wu, J.S., Burkey, K.O., Firestone, M.K. Plant and microbial N acquisition under elevated atmospheric CO2 in two mesocosm experiments with annual grasses. Global Change Biology 2005 11( 2) : 213-223 *Zhang, W.J., Feng, J.X., Wu, J.S., Parker, K. Differences in soil microbial biomass and activity for six agroecosystems with a management disturbance gradient. Pedosphere 2004 14(4): 441-447. *Wu, J.S., Lu, X.Z., Shao, M., Wang, J.S. A bacterium possessing biological activity against toxins in organic acids produced by phytopathogen. Journal of Southwest Agricultural University.2000 22 (3): 222-225. (This paper was abstracted in the CAB international 2000/08-2001/10) *Wu, J.S., Wang J.S. Control effect of W-1 with detoxification activity activity against Scleotinia sclerotiorum and its primary identification Journal of Southwest Agricultural University 2000 22(6):487-489. *Wang J.S., Wu, J.S, Song C.F and Liu F.Q. 2000. Phytopathogenic Bacteriology. China Agriculture Press(Book) *Zhu, Y.L., Wu J.S., Wang, J.S. Analysis of resistance-related proteins in rice against Xanthomonas oryzae pv.oryzae by two-dimensional electrophoresis Scientia Agricultura Sinica 2000 33(4): 91-93. (This paper was abstracted in the CAB international 1996-1998/07) *Wu, J.S., Liang, J.D., Wang, J.S. Effects of Echcin on control of crop fungal and bacterial diseases. Acta Phytopathologica Sinica. 1999 29:104-109. (This paper was abstracted in the CAB international 1998/08-2000/07) *Li, H.Y., Wu, J.S, Song, C.F. and Wang, J.S. Hypersensitive reaction in the interaction between rice IR26 cell suspension and Xanthomonas oryzae pv. oryzae Acta Phytopathologica Sinica. 1999 29(4):299-303.(This paper was abstracted in the CAB international 1998/08-2000/07) *Ouyang, P.K., Zhang, G..D., Wu, J.S., Wang, J.S., Zhang, L.Y., Li, G.F. 1999. Handbook of Chemical Industrial Products. Chemical Industry Press(Book). *Wu, J.S. , Wang, J.S. Changes in soluble proteins in rice leaves in the interaction between rice and bacterial blight (Xanthomonas oryzae pv. oryzae). Journal of Southwest Agricultural University 1998 20(4): 321-327. (This paper was abstracted in the CAB international 1998/08-2000/07) *Yang, Z. C., Wu, J.S.1998. Screening of biocontrol microorganism against two wheat diseases. Chinese Journal of Microecology(supplement)10:61-64. *Zhu, Y.L., Wu, J.S. Wang, J.S. A preliminary study on the expression of defense genes in rice-suspension induced by Xanthomonas oryzae pv.oryzae. Acta Phytopathologica Sinica 1997 29: 250. (This paper was abstracted in the CAB international 1996-1998/07) *Wu, J.S., Dong, C., Leng, F.F. Wang, J.S. Induced resistance of the incompatible race of Xanthomonas oryzae pv.oryzae to rice and preliminary study of PR-proteins. Acta Phytopathologica Sinica 1996 26(2):110. (This paper was abstracted in the CAB international 1996-1998/07) *Wu, J.S., Wang, J.S. The bacteriocin from the phytopathogenic bacteria 1996 Microbiology 23:95-101. *Liu, H.L., Zhang, X.Z, Wang, J.S. Wu, J.S..Purification and characterization of antifungal protein of B3(Bacillus subtilis) Journal of Agricultural biotechnology 1995 26:33-38.
Interests
1.Wang, J.S.,Wen, W.G,, Lu, X.Z., Song, C.F. Wu, J.S. A protein elicitor for biocontrol of plant diseases and pests.(file number: CN1251371A) 2. Wang, J.S., Wu, J.S., Dong, H.S Bacillus subtilis strain as biocontrol agent of plant disease.(file number:CN1237346A) 3.Wang, J.S, Liu, J.J, Wu, J.S, Fang, H., Wei, Z.M. The small molecular bacteriocin from Erwinia chrysanthemi and its fermentation technique and separation method.(file number:CN1245164A)
Skills
alpha, Cancer, database, equipment maintenance, inventory, MS access, peoplesoft, personnel, supervision, technician
Additional Information
  • Patents 1.Wang, J.S.,Wen, W.G,, Lu, X.Z., Song, C.F. Wu, J.S. A protein elicitor for biocontrol of plant diseases and pests.(file number: CN1251371A) 2. Wang, J.S., Wu, J.S., Dong, H.S Bacillus subtilis strain as biocontrol agent of plant disease.(file number:CN1237346A) 3.Wang, J.S, Liu, J.J, Wu, J.S, Fang, H., Wei, Z.M. The small molecular bacteriocin from Erwinia chrysanthemi and its fermentation technique and separation method.(file number:CN1245164A) AWARDS AND HONORS *Caner Biology Honor, Department of Cancer Biology, Wake Forest University School of Medicine, 2011 *Science and Technology Advance Award, Jiangsu Province Science and Technology Committee, 1999. *Excellent Research Paper Award, Nanjing Agricultural University, 1997.
Do you want similar resume?

Popular Research Fellow resume designs

According to our data, these resume designs are the most suitable for Research Fellow. You can easily get a similar resume design in 10 minutes. Just select the one you like the most!

Job-winning Research Fellow resume

Kanakaraju Kaliannan
Personal Information
  • Sex: Male
  • Current Visa: United States Permanent Resident
Objective
Microbiome Research Scientist position in a dynamic and innovative environment where my demonstrated ability to initiate and conduct novel microbiome research projects, to develop creative solutions to complex problems, to conduct molecular microbiology techniques, and to apply bioinformatics tools for sequence data analysis can support the company's efforts to deliver life-changing products that advance world health.
Professional Overview
 Senior Research Fellow
7 years' experience in a range of molecular microbiology techniques
Proficient in basic genomic analysis software and bioinformatics tools
Proven ability to develop novel solutions to complex issues
Accomplished in initiating and conducting novel microbiome research projects
Seven years' experience with inflammatory and metabolic and infectious diseases research
Highly motivated and proven ability to work independently as well as collaboratively
A strong track record of high impact gut microbiome publications
Technical Skills and Qualifications

A. Demonstrated ability to initiate and conduct novel research projects with a strong track record of developing creative solutions to complex problems

Publication 1
Kang C, Wang B, Kaliannan K, Wang X, Lang H, Hui S, Huang L, Zhang Y, Zhou M, Chen M, Mi M. Gut Microbiota Mediates the Protective Effects of Dietary Capsaicin against Chronic Low-Grade Inflammation and Associated Obesity Induced by High-Fat Diet. MBio. 2017 May 23;8(3). pii: e00470-17. doi: 10.1128/mBio.00470-17.
  • Problem 1: Authors did not know whether Capsaicin-induced gut microbiota changes are the cause for high-fat diet induced obesity
  • Solution: Suggested to use antibiotics-induced depletion of gut microbiota and fecal microbiota transplantation using germ free mice
  • Problem 2: Authors did not know how to analyze 16S sequence data and present it effectively with clearly written manuscript
  • Solution: Conducted 16S data analysis and Predictive Functional Analysis using bioinformatics tools (PAST, XLSTAT, QIIME, PICRUSt, STAMP and Graphpad Prism)/Expressed microbiome data effectively/Drafted final version of manuscript
  • Work style: Collaboration
  • Accomplishments: Proved the competency in bioinformatics tools for sequence data analysis/Learned microbiota functional analysis using PICRUSt and QIIME tools/Independently executed manuscript writing skills
Publication 2
Kaliannan K, Wang B, Li XY, Bhan AK, Kang JX. Omega-3 fatty acids prevent early-life antibiotic exposure-induced gut microbiota dysbiosis and later-life obesity. Int J Obes (Lond). 2016 Jun; 40(6):1039-42. doi: 10.1038/ijo.2016.27.Epub 2016 Feb 15.​
  • Problem 1: Whether omega-3 fatty acids prevent antibiotics-induced gut dysbiosis was not known
  • Solution: Confirmed genotype of fat-1 transgenic mice using RT-PCR/Isolated genomic DNA from mice feces/Conducted targeted fecal microbiome analysis using q-PCR
  • Problem 2: Microbiome changes during disease progression
  • Solution: Collected fecal samples at four time points (Baseline/after antibiotics/after the recovery period/after the western diet)/RT-qPCR analysis of microbiome changes
  • Work style:  Independent as well as collaboration with 'BEI Resources', VA, USA
  • Accomplishments: Discovered an association between n-3 fatty acids and microbiota-based marker of obesity (FIRMICUTES to BACTEROIDETES ratio) and Colonization Resistance (BIFIDOBACTERIUM to ENTEROBACTERIACEAE ratio)/Selected ‘Study Spotlight' by MGH Research Institute/Selected oral abstract at Harvard Catalyst Child Health Symposium/Manuscript writing skills
Publication 3
Kaliannan K, Wang B, Li XY, Kim KJ, Kang JX. A host-microbiome interaction mediates the opposing effects of omega-6 and omega-3 fatty acids on metabolic endotoxemia. Scientific Reports. 2015, Jun;5(11276): 1-17.​
  • Problem 1: Whether n-6 and n-3 fatty acids exert opposing effects on gut microbiota
  • Solution: Confirmed genotype of fat-1 transgenic mice using RT-PCR/Isolated genomic DNA from mice feces/Conducted targeted fecal microbiome analysis using q-PCR/Expressed data as 16S rRNA copies
  • Problem 2: Whether gut microbiota mediates the opposing effects of these fatty acids on chronic inflammation
  • Solution: Conducted co-housing and antibiotics and fecal microbiota transplantation experiments
  • Problem 3: The mechanism for the opposing effects of n-6 and n-3 fatty acids on microbiota
  • Solution: RT-PCR/mRNA expression of antimicrobial peptides (AMPs) and gut tight junction proteins (TJPs)
  • Work style: Independent as well as collaboration with 'BEI Resources'
  • Accomplishments: Established culture dependent and independent microbiological techniques/Learned how to convert genome copies in to 16S rRNA gene copy numbers/Oral abstract and poster presentation at local and international conferences/Clinical trials using type 2 diabetes and cancer patients
Publication 4
Kaliannan K, Hamarneh SR, Economopoulos KP, Nasrin Alam S, Moaven O, Patel P, Malo NS, Ray M, Abtahi SM, Muhammad N, Raychowdhury A, Teshager A, Mohamed MM, Moss AK, Ahmed R, Hakimian S, Narisawa S, Hohmann E,Warren HS, Bhan AK, Malo MS, Hodin RA. Intestinal alkaline phosphatase prevents metabolic syndrome in mice. Proc Natl Acad Sci U S A. 2013, Apr; 110(17): 7003-8.
  • Problem 1: Whether IAP detoxifies bacterially-derived pro-inflammatory molecules to prevent metabolic disease
  • Solution: Initiated and conducted 12 different types of novel experiments with WT and IAP knockout mice
  • Problem 2: Whether high-fat diet alters expression of endogenous IAP
  • Solution: RT-PCR/mRNA analysis of intestinal tissue IAP
  • Problem 3: Whether IAP needs gut microbiota to prevent obesity
  • Solution: Antibiotics-induced germ free status/Bacterial culture
  • Work style: Independent as well as collaboration with Dr. Atul Bhan for fatty liver disease
  • Accomplishments: Discovered unique therapy against metabolic syndrome/Studied host-microbiome interactions/Won grants and awards of $350,000 to advance metabolic research/'Posters of Distinction' award at DDW 2012/Publication in one of the world's most-cited multidisciplinary scientific serials with impact factor 10
Publication 5
Alam SN, Yammine H, Moaven O, Ahmed R, Moss AK, Biswas B, Muhammad N, Biswas R, Raychowdhury A, Kaliannan K, Ghosh S, Ray M, Hamarneh SR, Barua S, Malo NS, Bhan AK, Malo MS, Hodin RA. Intestinal alkaline phosphatase prevents antibiotic-induced susceptibility to enteric pathogens. Annals of Surgery. 2014,Apr; 259(4): 715-22.​5.​
  • Problem: Establishment of Salmonella and Clostridium difficile infection
  • Solution: Conducted literature search and established infection-induced colitis models in mice/Bacterial culture
  • Work style: Collaboration
  • Accomplishments: Played key role identifying novel therapy against infectious colitis/Poster presentation at DDW 2012
Publication 6
Economopoulos KP, Ward NL, Phillips CD, Teshager A, Patel P, Mohamed MM, Hakimian S, Cox SB, Ahmed R, Moaven O, Kaliannan K, Alam SN, Haller JF, Goldstein AM, Bhan AK, Malo MS, Hodin RA. Prevention of antibiotic associated metabolic syndrome in mice by intestinal alkaline phosphatase. Diabetes Obes Metab. 2016 May;18(5):519-27. doi: 10.1111/dom.12645. Epub 2016 Mar 22.
  • Problem: 16S sequence data analysis and related statistics
  • Solution: Conducted generalized linear modeling with a negative binomial distribution/Assisted to use R Software using the vegan
  • Accomplishment: Learned R Software​
Publication 7
Hamarneh SR, Mohamed MM, Economopoulos KP, Morrison SA, Phupitakphol T, Tantillo TJ, Gul SS,Gharedaghi MH, Tao Q, Kaliannan K, Narisawa S, Millán JL, van der Wilden GM, Fagenholz PJ, Malo MS,Hodin RA. A novel approach to maintain gut mucosal integrity using an oral enzyme supplement. Annals of Surgery. 2014, Oct; 260(4): 706-14.
  • Role: RNA extraction and qRT-PCR on terminal ileum/mRNA expression of gut TJPs
Publication 8
Hamarneh SR, Kim BM, Kaliannan K, Morrison SA, Tantillo TJ, Tao Q, Mohamed MMR, Ramirez JM, KarasA, Liu W, Hu D, Teshager A, Gul SS, Economopoulos KP, Bhan AK, Malo MS, Choi MY, Hodin RA. Intestinal Alkaline Phosphatase Attenuates Alcohol-Induced Hepatosteatosis in Mice. Dig Dis Sci. 2017 Apr 19. doi:10.1007/s10620-017-4576-0. [Epub ahead of print].
  • Problem 1: Whether preventing microbiota derived LPS production by oral IAP supplementation could prevent development of alcoholic liver disease
  • Solution: Initiated and conducted acute and chronic alcohol consumption experiments in mice.
  • Problem 2: Whether IAP affects liver and intestinal mRNA expression of proinflammatory genes
  • Solution: Conducted RNA isolation and qRT-PCR/mRNA expression analysis of targeted genes
Completed projects with manuscript in review
Manuscript 1 (Microbiome)​: Kanakaraju Kaliannan, Xiang-Yong Li, Chih-Yu Chen, Jing X. Kang. Elevated tissue omega-6 fatty acids alter gut microbiota and metabolome with increased  chronic low-grade inflammation in fat-2 transgenic mice.​
  • Accomplishments: 'Poster of Excellence award' at Massachusetts General Hospital Research Fellow Poster Celebration, 2017 (one of the 12 posters awarded among the 100 posters)
  • Oral presentation 1: Gut Health, Microbiota & Probiotics Throughout the Lifespan: Metabolic & Brain Function, 2016, Harvard Medical School
  • Oral presentation 2: 'Elevate your science symposium', Mass General Postdoc Association, Massachusetts General Hospital, 2017
  • Oral presentation 3: Inaugural Symposium of the International Society for Omega-3 Research (ISOR), 2017, Massachusetts General Hospital
  • Poster presentation: '6th Annual Obesity Research Incubator Session, 2017, The Cardiovascular, Diabetes & Metabolic Disorders(CVDM) Research Center, Brigham & Women's Research Institute, Boston, MA
  • Confirmed upcoming oral presentation: Cambridge Healthtech Institute's 3rd Annual 'Targeting the Microbiome' conference, Boston, MA (http://www.discoveryontarget.com/microbiome-therapeutics/)-The Industry's Preeminent Event on Novel Drug Targets
  • Problem 1: Whether omega-6 fatty acids induced chronic low-grade inflammation can be derived from gut dysbiosis and metabolic endotoxemia
  • Problem 2: Whether omega-6 fatty acids (n-6) induced gut dysbiosis is associated with chronic diseases (obesity, metabolic syndrome and cancer)
  • Problem 3: Whether we can prove this with excluding diet related confounding factors
  • Solutions: Developed FAT-2 transgenic mouse model and utilized multi-omics technologies to examine the effects of elevated tissue n-6 PUFA on the gut microbiota,metabolic endotoxemia, and chronic low-grade inflammation
  • Relevant Techniques: Conducted fecal Nucleic acid isolation and 16S rRNA sequencing,  RT-qPCR and fecal and serum metabolomics
  • Bioinformatics tools: Used PAST, XLSTAT, SIMCA-P, QIIME, PICRUSt, STAMP and Graphpad Prism
  • Work style: Independent as well as collaboration with Second Genome and Metabolon, Inc companies

​Manuscript 2 (Nature Communications): Ruairi C. Robertson, Kanakaraju Kaliannan, Conall R. Strain, R. Paul Ross, Catherine Stanton, Jing X. Kang. Maternal omega-3 fatty acids regulate offspring obesity through modulation of gut microbiota.

  • Problem: Fecal genomic DNA isolation/16S sequence data analysis with effective microbiome data presentation
  • Solution: Isolated fecal bacterial DNA/Constructed Library/Conducted bioinformatics using PAST, XLSTAT, SIMCA, QIIME, PICRUSt and Graphpad Prism
  • Work style: Collaboration with APC Microbiome Institute, Ireland
  • Accomplishments: Mentored pre-doctoral student and technicians/ Demonstrated how to use bioinformatics tools
Completed projects with manuscripts ready for submission
Manuscript 1
Kanakaraju Kaliannan, Ruairi Robertson, Kiera Murf, Lei Hao, Chao Kang, Bin Wang, Amy Goodale, Jing X.Kang. Gut microbiota mediates gender differences in metabolic syndrome.
Manuscript 2
Kanakaraju Kaliannan, Bin Wang, Xiang-Yong Li, Jing X. Kang. Elevated tissue omega-3 fatty acids prevent anticancer drug-induced gut toxicity by altering gut microbiota.
Manuscript 3
Kanakaraju Kaliannan, Ruairi Robertson, Kiera Murf, Chao Kang, Bin Wang, Xiang-Yong Li, Jing X. Kang. Elevated tissue omega-3 fatty acids prevent chronic alcohol and omega 6 fatty acids induced liver injury by altering gut microbiota. 
Role: Conceived the plans, initiated and conducted experiments to study the role of gut microbiota in those contexts underlined above 
Relevant Techniques: Conducted fecal nucleic acid isolation/Library preparation/16S rRNA sequencing/RT-qPCR 
Bioinformatics tools: Used PAST, XLSTAT, QIIME, PICRUSt, STAMP and Graphpad Prism
Work style: Independent as well as collaboration with APC Microbiome Institute​, Ireland
B. Experience with molecular microbiology techniques
1. Extraction and purification of DNA from fecal samples
  • Bacterial genomic DNA was extracted from fresh stool samples (~100–180 mg) using the QIAamp DNA Stool Mini Kit 
  • In order to increase its effectiveness, the lysis temperature was increased to 95 °C
  • The eluted DNA was treated with RNase, concentration was determined by absorbance at 260 nm (A260), and purity was estimated by determining the A260/A280 ratio with a Nanodrop spectrophotometer, diluting to 20 ng/μl 
2. Bacterial DNA measurement by 16S rRNA gene-based real-time Quantitative PCR (qPCR)
  • qPCR was performed with a PRISM 9000 Light Cycler using the iTaquniversal SYBR Green Supermix and group-specific primers
  • The specificity of the primers and the limit of detection were determined  
  • Samples and the standards were run in duplicates with a total volume of 20 μ l/well containing 500 nM primer and 40 ng template genomic DNA 
  • Amplification programme and data acquisition were performed following the protocol provided with SYBR Green
  • A genomic DNA standard from reference strains (BEI Resources, Manassas, VA) was converted into 16S rRNA copy numbers and serially diluted to generate a standard curve
  • The 16S rRNA copy number was determined for each genomic standard by first converting the genomic standard quantities into genome copy numbers and then into 16S rRNA copy numbers
  • Threshold cycle values from qPCR for the test samples were used to determine their corresponding numbers of 16S rRNA gene copies based on the standard curve
  • Data is expressed as 16S rRNA gene copy number per gram of stool as well as relative abundance of percentage of total bacteria at sub-phylum level bacterial groups
  • Quantified short chain fatty acids (SCFA) producing fecal bacterial groups (e.g. Lachnospiraceae, Ruminococcaceae and Roseburia) using RT-qPCR
  • Quantified SCFA related butyryl-CoA transferase (BCoAT) genes (RT-qPCR)
  • Isolated RNA from mice tissues, made cDNA and quantified expression of various genes using RT-qPCR
  • Quantified beta-glucuronidase producing bacterial groups using degenerate primers and RT-qPCR
3. 16S rRNA sequencing
  • 16s sequencing library preparation was performed on DNA samples according to the Illumina 16S metagenomic sequencing library protocol in order to generate V3-V4 amplicons
  • DNA samples were subjected to an initial PCR reaction utilising primers specific for amplification of the V3-V4 region of the 16S rRNA gene
  • Clean-up and purification of the PCR product was performed using the Agencourt AMPure XP system
  • Following clean-up and purification, a second PCR reaction was performed in order to incorporate a unique indexing primer pair to each sample
  • The PCR products were purified a second time
  • Quantification of samples was performed using DNA quantification assay kit
  • Following quantification, samples were pooled in equimolar amounts (4nM) and sequenced at Clinical Microbiomics using Illumina MiSeq 2x300 bp paired end sequencing
  ​
C. Competent in bioinformatics tools for sequence data analysis
1. Processing of 16S sequence data
  • The 64-bit version of USEARCH59 and mothur60 is used in combination with several in-house programs for bioinformatic analysis of the sequence data
  • Following tag identification and trimming, all sequences from all samples are pooled.
  • Paired end reads are merged, truncating reads at a quality score of 4, requiring at least 100 bp overlap and a merged read length between 300 and 600 bp in length
  • Sequences with ambiguous bases, without perfect match to the primers, or homopolymer length greater than 8 are discarded and primer sequences trimmed
  • Reads are quality filtered, discarding reads with more than 5 expected errors and sequences are strictly dereplicated, discarding clusters smaller than 5
  • Sequences are clustered at 97 % sequence similarity, using the most abundant strictly dereplicated reads as centroids and discarding suspected chimeras based on internal comparison
  • Additional suspected chimeric OTUs are discarded based on comparison with the Ribosomal Database Project classifier training set v961 using UCHIME62
  • Taxonomic assignment of OTUs is done with mothur's PDS version of the RDP training database v14

2. Analysis of 16S sequencing data 

  • The Chao1, Abundance-based Coverage Estimator (ACE) and Shannon α-diversity indexes were calculated and rarefaction curve analysis was performed by PAST software.
  • Dimensional reduction of the Bray-Curtis distance between microbiome samples using Principal Coordinate Analysis (PCoA) ordination method (PAST and XLSTAT) was done
  • Significant differences among groups were tested with Permutational Analysis of Variance (PERMANOVA) using PAST software
  • Top 7 taxa which are primarily responsible for an observed difference between groups were identified by SIMPER (Similarity Percentage) method and their contribution to groups (between and within groups) were analyzed using Principal Component variance-covariance type ordination (PAST and XLSTAT software) method
  • Differential expression of taxon were identified (nonparametric ANOVA with Benjamini-Hochberg false discovery rate correction; P <0.05) by XLSTAT.
  • Relative abundance of taxon were shown by heatmap with hierarchical clustering (HCN) analysis (XLSTAT and Graphpad Prism)
  • Microbiota based biomarker discoveries were done with the Linear Discriminant Analysis Effect Size (LEfSe) using online Galaxy server
  • LDA scores derived from LEfSe analysis were used to show the relationship between taxon using a cladogram (circular hierarchical tree) of significantly increased or decreased bacterial taxa
3. Analysis of metabolomics data
  • Differential expression of fecal and serum metabolites were identified (nonparametric ANOVA with Benjamini-Hochberg false discovery rate correction; P <0.05) by XLSTAT
  • Relative abundance of metabolites were shown by heatmap with hierarchical clustering (HCN) analysis (XLSTAT and Graphpad Prism)
  • Biomarker metabolites based on VIP score were identified by applying PCA, PLS-DA and OPLS-DA regression methods on metabolomics data (SIMCA-P software)
  • The quality of the models is described by the R2X or R2Y and Q2 values
  • To avoid model over-fitting, a default seven-round cross-validation in SIMCA was performed
  • The values of R2X, R2Y, and Q2 were used as indicatives to assess the robustness of a pattern recognition model

4. Putative metagenome identification

  • Microbial functions were predicted using 16S ribosomal RNA sequencing and phylogenetic reconstruction of unobserved states (PICRUSt) software
  • Demultiplexed FASTA sequences were converted in to BIOM format using QIIME software
  • The predicted genes and functions were aligned to KEGG database 
  • STAMP software was utilized to determine significant putative KEGG orthologs
5.  Proven ability to use Galaxy web application (https://huttenhower.sph.harvard.edu/galaxy/)
Resources for metagenomic and functional genomic analyses
a. MetaPhlAn
  • MetaPhlAn (Metagenomic Phylogenetic Analysis)
  • Computational tool for profiling the composition of microbial communities from metagenomic shotgun sequencing data
b. ​PICRUSt
  • Phylogenetic Investigation of Communities by Reconstruction of Unobserved States
  • Predict gene family abundance (e.g. the metagenome) in environmental DNA samples for which only marker gene (e.g. 16S rRNA gene) data are available.
c. GraPhlAn
  • Annotates and visualizes phylogenetic and taxonomic trees with labels, colors, heatmaps, and other graphical features.
d. LEfSe
  • Linear Discriminant Analysis Effect Size
  • An algorithm for High-Dimensional biomarker discovery and explanation
  • Identifies genomic features (genes, pathways, or taxa) characterizing the differences between two or more biological conditions (or classes, see figure below)
  • It emphasizes both statistical significance and biological relevance
  • Allowing researchers to identify differentially abundant features that are also consistent with biologically meaningful categories (subclasses)
  • LEfSe first robustly identifies features that are statistically different among biological classes
e. MaAsLin
  • Multivariate statistical framework that finds associations between clinical metadata and microbial community abundance or function
  • Allows one to detect the effect of a metadata, possibly a phenotype, deconfounding the effects of diet, age, sample origin or any other metadata captured in the study
  • Visualization of Co-occurrence networks by CYTOSCAPE software
  • Co-inertia analysis (CIA) to assess relationship between genes and metabolites
6. Analysis of clinical data
  • Mean differences in Intestinal Alkaline Phosphatase (IAP) levels between Ischemic Heart Disease (IHD) cases and non-IHD  controls were assessed via Analysis of Covariance (ANCOVA) generalized linear regression models 
  • The statistical significance of the variance associated with independent variables was assessed from sum of square III using GLM procedure in XLSTAT
  • Multiple logistic regressions using ‘multinomial logit regression model' in XLSTAT assessed association between IHD cases with independent risk factors including IAP
  • Regression coefficients and odds ratios were used to express the independent risk contribution of IAP to IHD status
  ​

D. Knowledgeable and competent in frequently used bioinformatics tools for sequence data analysis

1. Analyzing data
  • Principal component analysis (PCA)
  • Correspondence Analysis (CA) 
  • Multiple Correspondence Analysis (MCA)
  • Principal Coordinate Analysis (PCoA)
  • Multidimensional Scaling (MDS)
  • Factor analysis (FA)
  • Discriminant Analysis (DA)
  • Agglomerative Hierarchical Clustering (AHC) in Excel
  • k-means clustering in Excel tutorial
  • Clustering big data sets using k-means then AHC
  • Gaussian mixture model clustering
  • Filtering observations and variables in PCA charts
  • Filtering observations within a PCA
  • ANOSIM/PERMANOVA/Mantel test/SIMPER
  • Alpha and Beta diversity indices
  • Quadrat richness
  • Taxonomic distinctness
  • Diversity permutation test

2. Modeling data

  • Fitting a distribution to a sample of data
  • Simple linear regression
  • Multiple Linear Regression
  • One-way ANOVA & multiple comparisons
  • Contrast analysis after a one-way ANOVA
  • Two-way unbalanced ANOVA with interactions
  • Pairwise multiple comparisons after a multi-way ANOVA
  • ANCOVA analysis
  • One-way MANOVA
  • Logistic regression
  • Ordinal logit model
  • Multinomial logit model
  • Quantile regression
  • Cubic spline
  • Nonparametric regression (kernel & Lowess)
  • Nonlinear regression
  • Nonlinear multiple regression
  • Partial Least Squares PLS regression
  • Partial least squares discriminant analysis (PLSDA)
  • Repeated measures ANOVA
  • Run repeated measures ANOVA using mixed models
  • Random components mixed model
  • Two-stage least squares regression

3. Machine Learning

  • Classification tree in Excel tutorial
  • Association rules for market basket analysis
  • K Nearest Neighbors KNN
  • Naive Bayes classification
  • Training a Support Vector Machine (SVM)

4. OMICS data analysis

  • Heat map (OMICS)
  • Differential expression (OMICS)

5. Multiblock data analysis

  • Run Generalized Procrustes Analysis (GPA)
  • Canonical Correspondence Analysis (CCA)
  • Canonical Correlation analysis
  • Redundancy analysis (RDA)

6. XLSTAT-3DPlot

  • 3D plot
  • Save a 3D model to reuse it later or on other data
  ​
E. Highly organized and motivated individual
  • Organizer and chair of inaugural symposium conducted for International Society for Omega-3 Research (ISOR), January 08, 2017, Massachusetts General Hospital, Boston, MA
  • Organized one mini symposium (''Nutrigenomics and Cancer Biology'') for current lab in December 10, 2012
  • Strengthened event (''A Showcase of Fighting Spirit against Cancer'') hosted by current lab in May 14, 2013
  • Experienced team player, able to work well in a group setting as well as independently in a fast-paced environment
  ​

F. Proven ability to work collaboratively

  • Dr. Sonoko Narisawa (Sanford Children's Health Research Center, Sanford-Burnham Medical Research Institute, CA)-IAP-knockout mice
  • Dr. Elizabeth Hohmann and Dr. H. Shaw Warren (Infectious Disease Unit, Department of Medicine and Pediatrics, Massachusetts General Hospital, Harvard Medical School, Boston, MA)-Infectious colitis and gut dysbiosis
  • Dr. Atul K. Bhan (Department of Pathology, Massachusetts General Hospital, Harvard Medical School,Boston, MA)-Fatty liver disease
  • Dr. Staton C (APC Microbiome Institute, Biosciences Building, University College Cork, Cork, Ireland)-Omega-3 fatty acids and microbiota
  • Dr. Mantian Mi (Center for Nutrition and Food Safety, Institute of Military Preventive Medicine, Third Military Medical University, Chongqing, P.R. China)-Capsaicin and microbiota
  • Dr. Anthony Samir (Department of Radiology, Massachusetts General Hospital, USA)-Nonalcoholic fatty liver disease
  • Dr. Madhu S. Malo (Atoxin Biotech, Worcester, MA)-Ischemic Heart Disease
  ​
​G. Strong written and verbal communication skills
  • Manuscripts proofreading (e.g. Kang C et al, 2016; PMID: 27676396)
  • Reviewing manuscripts for scientific journals and helping authors to improve their writing skills (e.g. Digestive Disease Sciences journal)
  • Passed "Spoken English Proficiency and Interpersonal and Communication Skills'' part of UNITED STATES MEDICAL LICENSING EXAMINATION (USMLE)
  • Established successful external collaboration with key microbiome scientists (e.g. Dr. Staton, C from APC Microbiome Institute, Ireland)
  • Supervised, trained and mentored visiting scholars and summer interns
  • Precisely communicated microbiome discoveries to wide range of audience at local (e.g. Harvard Medical School) and international meetings (e.g. ISOR 2017)
Presentations
Local:
Year/ Title of presentation/ Type of presentation/Department and Institution where presented  
  • 2011/The Effects of Orally Administered Intestinal Alkaline Phosphatase on High Fat Diet-Induced Metabolic Disorders/MGH Annual Research Progress meeting/Department of Surgery (Gastrointestinal unit), MGH
  • 2011/Vagus Nerve Stimulators/Seminar/Pediatric Critical Care Unit, Massachusetts General Hospital
  • 2015/Omega-3 fatty acids prevent early-life antibiotic exposure-induced gut microbiota dysbiosis and later-life obesity/Selected oral abstract/Harvard Catalyst Child Health Symposium: Developmental Origins of Health and Disease/Harvard Medical School, Boston, MA
  • 2016/Elevated tissue omega-6 fatty acids alter gut microbiota and metabolome with increased chronic low-grade inflammation in fat-2 transgenic mice/Selected oral abstract/Elevate your science symposium/Massachusetts General Hospital
  • 2017/Omega-3 in Health Promotion and Disease Management: From Animal to Human/Selected oral abstract/Inaugural Symposium of the International Society for Omega-3 Research (ISOR) Massachusetts General Hospital

Regional:

  • 2013/Intestinal Alkaline Phosphatase Prevents Acute Alcohol-Induced Liver Injury/Selected oral abstract/The New England Surgical Society Annual Surgical Resident and Fellow Research Presentation Day/Hartford, Connecticut
  • 2017/Discovering Microbiome-Related Nutritional Biomarkers for Chronic Diseases Using Multi-Omics and Transgenic Model Technologies/Selected oral abstract/Cambridge Healthtech Institute's 3rd Annual Targeting the Microbiome/Boston, MA

National:

  • 2012/The Effects of Orally Administered Intestinal Alkaline Phosphatase on High Fat Diet-Induced Metabolic Disorders/Selected oral abstract/Digestive Disease Week (DDW) 2012/San Diego, California (American Gastroenterological Association)
  • 2013/Intestinal Alkaline Phosphatase Prevents Acute Alcohol-Induced Liver Injury/Selected oral abstract/Academic Surgical Congress (ASC) Scientific Program Committee/Orlando, Florida

International:

  • 2014/Elevated tissue omega-3 fatty acid status prevents chronic low grade inflammation by altering gut microbiota/Selected oral abstract/11th Congress of the International Society for the Study of Fatty Acids and Lipids (ISSFAL)/Stockholm, Sweden
  • 2015/A host-microbiome interaction mediates the opposing effects of omega-6 and omega-3 fatty acids on metabolic endotoxemia and chronic low grade inflammation/Selected oral abstract/12th World Congress on Inflammation/Boston, Massachusetts  
  • 2016/Dietary fat issues in current nutritional guidelines/Advances in Clinical Nutrition/Changzheng Hospital, Pudong, Shanghai, China
  • 2016/A Host-Microbiome Interaction Mediates the Opposing Effects of Omega-6 and Omega-3 Fatty Acids on Metabolic Endotoxemia/Selected oral abstract/International Conference on Omega-3 and Human Health (ICOHH)/Shanghai, China
Accomplishments
Research Fellow 10/2012 to Current Laboratory for Lipid Medicine and Technology, Massachusetts General Hospital, Harvard Medical School Boston, MA
  • Won POSTER OF EXCELLENCE award for a project that utilized  'MULTI-OMICS TECHNOLOGIES (16S rRNA sequencing/PICRUSt/metabolomics)and variety of BIOINFORMATICS TOOLS (PAST/XLSTAT/SIMCA) for sequence data analysis
  • Accepted and confirmed to give oral presentation at Cambridge Healthtech Institute's 3rd Annual 'Targeting the Microbiome' conference, Boston, MA (http://www.discoveryontarget.com /microbiome-therapeutics/)-The Industry's Preeminent Event on Novel Drug Targets
  • Developed and phenotyped transgenic mice models to research host-microbiome interactions and metabolic disease (e.g. fat-1/fat-2/fat-12 mice)
  • Designed and executed in vivo gut microbiome and metabolic studies
  • Discovered an interaction between host tissue fatty acid compositionand gut microbiota as a novel mechanism for the anti-inflammatory effect of omega-3 fatty acids
  • Developed new mice model and discovered a novel therapeutic approach to prevent antibiotics associated metabolic syndrome
  • Developed and executed culture dependent and independent methods for microbiota studies (e.g. qPCR/16S rRNA sequencing/germ-free mice/microbiota transplantation)
  • Conducted research on microbial products involved in host-microbe interactions with multi-omics technologies
  • Completed 6 different types of metabolic and microbiome research projects (manuscripts are in review) to study host (tissue n-6/n-3 ratio)-microbiome interactions 
  • Established collaborations with leading microbiome scientists (e.g. Dr. Catherine Staton, APC Microbiome Institute, Ireland)
  • Conducted microbiological techniques (qPCR and 16S rRNA sequencing) to study fecal commensal microbes of cancer patients
  • Researched and listed in vitro assays for studying microbe (E.coli)-microbe (Bifidobacterium) interactions
  • Discovered omega-3 fat-induced gut antimicrobial peptides (defensins, BHI, IAP and Reg3g) changes as mechanism for host-microbiome interactions
  • Discovered an association between n-3 fatty acids (FA) and microbiota-based marker of obesity (FIRMICUTES to BACTEROIDETES ratio) and Colonization Resistance (BIFIDOBACTERIUM to ENTEROBACTERIACEAE ratio)
  • Discovered suppressing effects of n-3 FA on growth of Lipopolysaccharide (LPS) producing bacteria (e.g. Enterobactericeae)
  • Discovered growth promoting effects of n-3 FA on LPS-suppressing bacteria (e.g. Bifidobacterium)
  • Discovered differential effects of tissue omega-6 and omega-3 fatty acids on metabolic endotoxemia that provide insight into the etiology and management of today's health epidemics
Postdoctoral Research Fellow 11/2009 to 09/2012 Laboratory of Gastrointestinal Epithelialogy, Massachusetts General Hospital, Harvard Medical School Boston, MA
  • Discovered potentially unique therapy against metabolic syndrome in at-risk humans using knockout mouse models (e.g. IAP knockout mice)
  • Generated antibiotic-induced germ free mice and studied host-microbiome interactions
  • Established in vitro assays using RAW 264.7 cells and studied host (gut enzyme)-microbiome (bioactive bacterial molecules) interactions
  • Established in vivo techniques to evaluate metabolic disease (e.g. glucose and insulin tolerance tests)
  • Developed methods to study microbiome effects on gut barrier integrity (e.g. gut permeability assay)
  • Achieved a first author publication for lab in ''Proceedings of the National Academy of Sciences'' journal (one of the world's most-cited multidisciplinary scientific serials) with impact factor 10
  • Won grants and awards of $350,000 to advance metabolic research (e.g. Ellison foundation award)    
  • Received 'Posters of Distinction' and 'Posters of Merit' awards for metabolic research (e.g. DDW 2012)
  • Significantly contributed to fatty liver disease and gastrointestinal physiology research and published 5 articles (coauthor) in high impact journals (e.g. Annals of Surgery)
  • Lead a group of researchers and shifted primary focus of investigation to metabolic research (e.g. high-fructose and alcohol-induced liver disease)
  • Discovered novel therapy for inflammatory bowel disease and infectious colitis (salmonella and clostridium difficile)
  • Established assays to measure bacterial-derived molecules (e.g. LAL assay for bacterial LPS)
Work History
Research Fellow 10/2012 to Current Laboratory for Lipid Medicine and Technology, Massachusetts General Hospital, Harvard Medical School Boston, Massachusetts
Postdoctoral Research Fellow 11/2009 to 09/2012 Laboratory of Gastrointestinal Epithelialogy, Massachusetts General Hospital, Harvard Medical School Boston, Massachusetts
Clinical Research Assistant 10/2011 to 03/2012 Pediatric Critical Care Unit, Massachusetts General Hospital, Harvard Medical School Boston, Massachusetts
Work Experience
Research Fellow 10/2012 to Current Laboratory for Lipid Medicine and Technology, Massachusetts General Hospital, Harvard Medical School PI: Dr. Jing X. Kang, M.D., Ph.D.
Basic research:
  • Working on development of 'microbiome-based integrated metabolic intervention' for diabetes and cancer
  • Experimental design, literature search, performing experiments, data analysis and manuscript preparation are responsibilities
  • Designed and executed 6 different projects at the same time
  • Confirmed phenotype of transgenic mouse lines using fully automated Gas Chromatography (GC)
  • Confirmed genotype of transgenic mouse lines using RT-PCR
  • Isolated genomic DNA from mice blood, liver, adipose tissue, feces and ileum
  • Conducted targeted fecal microbiome analysis using q-PCR
  • Conducted global fecal microbiome analysis using gene sequencing with Illumina MiSeq platform
  • Isolated RNA from mice tissues, made cDNA and quantified expression of various genes using q-PCR
  • Analyzed Intestinal Alkaline Phosphatase (IAP) enzyme expression using Immunofluorescense (IF) staining and Western blot
  • Obtained photographs using Immunofluorescence and Confocal laser scanning microscopes
  • Investigated expression of IAP, Kruppel-like factor 4 using Immunohistochemistry (IHC)
  • Analyzed Toll-like receptor 4 and Beta-glucoronidase enzyme expression using IHC technique
  • Analyzed IHC slides using Optical microscope equipped with color camera system
  • Cultured Caco-2 cells and induced IAP expression using Estrogen or Isoflavonens or Fish oil
  • Collected culture media and investigated IAP expression using q-PCR/IF/Western blot
  • Stained intestine using H&E/Alcian Blue/Gram/PAS dyes
  • Obtained photographs from stained slides using whole slide scanner
  • Conducted gut permeability assay using FITC-dextran
  • Demonstrated trouble shooting skills with common laboratory equipments, protocols and assays
  • Introduced many techniques (e.g. LPS assay) and study designs (e.g. co-housing experiments) for microbiome research
  • Transplanted male mice fecal microbiota to female mice pretreated with antibiotics
  • Established 'fluorescence in situ hybridization' technique to study bacterial invasion into mucosa
  • Conducted in vitro Caco2 cell culture studies, qPCR and western blot to investigate effects of cancer drugs on markers of lipogenesis and inflammation
  • Conducted qPCR and flow cytometry analysis to confirm expression of stem cell markers in caco2 cells
  • Analyzed results using Excel, XLSTAT, GraphadPrism, PAST and SIMCA analytics softwares
  • Quantified Western blot and IHC Images using ‘Image J' software
  • Generated detailed reports and presented data to weekly lab meeting
  • Critically evaluated research articles and presented to weekly journal club meeting
  • Generated five abstracts and seven manuscripts using Adobe Photoshop, Word, Power point and EndNote
  • Discovered new action mechanism for opposing effects of omega-6 (n-6) and omega-3 (n-3) fatty acids (FA) on gut microbiome
  • Discovered new biomarkers for n-6 and n-3 FA using metagenomics and metabolomics approach
  • Proved importance of having balanced n-6/n-3 ratio to avoid chronic diseases
  • Identified novel strategy to prevent antibiotics associated obesity and diabetes
  • Discovered novel strategy to prevent anti cancer drug induced gut toxicity
  • Founded preventive strategy against adverse effects caused by combining alcohol with n-6 FA rich diet
  • Discovered new action mechanism for gender differences in diabetes
  • Authored two peer reviewed publications
  • Generated five abstracts and presented at prestigious scientific meetings
  • Played key role winning ''Global Award for Omega-3 Research''
  • Supervised, trained and mentored visiting scholars and summer interns
  • Worked closely with research colleagues, department staff and external contacts
  • Influenced direction of research of other members of lab
  • Organized one mini symposium (''Nutrigenomics and Cancer Biology'') for lab in December 10, 2012
  • Strengthened event (''A Showcase of Fighting Spirit against Cancer'') hosted by lab in May 14, 2013
  • Organized inaugural symposium for International Society for Omega-3 Research (Chair, January 08, 2017, Massachusetts General Hospital, Boston, MA)
Translational:​
1. To investigate the benefits of ''Kang's diet'' on cancer patients gut microbiota and metabolism:
  • Helped with designing clinical trials including cancer patients
  • Assisted patients to collect stool and blood
  • Measured plasma inflammatory markers using Luminex Cytokine Assay
  • Isolated genomic DNA from stool
  • Completed targeted microbiome analysis using q-PCR
  • Analyzed results using Excel and analytics softwares​
  • Conducted global fecal microbiome analysis using gene sequencing with Illumina MiSeq platform
  • Currently working on whole blood samples for transcriptome and metabolome analysis

2. To investigate the accuracy of ultrasound method invented by Massachusetts Institute of Technology (MIT):

  • Collaborated with Department of Radiology at Massachusetts General Hospital (MGH) and MIT
  • Received liver biopsy samples taken from patients with fatty liver disease
  • Currently testing enzymes expression using q-PCR and IF techniques 
3. To examine the effect of fish oil on gut microbiota of type 2 diabetes patients:
  • Collaborated with Medstar Shah Medical Group in Maryland, USA
  • Planned to investigate effect of fish oil on inflammation and fecal microbiota
  • Designed double-blinded crossover randomized controlled Trial 
  • Wrote entire protocol to submit to Institutional Review Board (IRB)

4. Proposed fecal microbiome analysis on VITAL clinical trial samples

  • Conducted by Brigham Women Hospital with more than 25,000 human subjects
  • Intervention: fish oil plus vitamin-d supplementation on cardiovascular disease incidence
  • 16S rRNA sequencing to analyze fecal microbiota changes
  • Untargetted metabolite analysis (LC-MS) on feces and plasma
  • Bacterial translocation analysis (16S rDNA, LBP and LPS) on whole blood samples
5. To investigate the association between stool IAP and Ischemic Heart Disease 
  • Accepted Dr. Madhu Malo's invitation to analyze the clinical data
  • Mean differences in Intestinal Alkaline Phosphatase (IAP) levels between Ischemic Heart Disease (IHD) cases and non-IHD controls were assessed via Analysis of Covariance (ANCOVA) generalized linear regression models
  • The statistical significance of the variance associated with independent variables was assessed from sum of square III using GLM procedure in XLSTAT
  • Multiple logistic regressions using ‘multinomial logit regression model' in XLSTAT assessed association between IHD cases with independent risk factors including IAP
  • Regression coefficients and odds ratios were used to express the independent risk contribution of IAP to IHD status
Postdoctoral Research Fellow 11/2009 to 09/2012 Laboratory of Gastrointestinal Epithelialogy, Massachusetts General Hospital, Harvard Medical School PI: Dr. Richard A. Hodin.MD
  • Studied role of Intestinal Alkaline Phosphatasec (IAP) in inflammatory bowel disease
  • Confirmed genotype of IAP knockout mice using RT-PCR
  • Separated RNA from intestinal tissues
  • Investigated IAP expression using q-PCR and two-step RT-PCR kit
  • Conducted cell culture studies using mouse RAW 264.7 cell line
  • Induced RAW 264.7 cells with mouse cecal contents
  • Collected culture media and measured cytokines
  • Measured gut permeability using FITC-dextran
  • Collected human ileal fluid samples from patients post ileostomy
  • Compared IAP levels between fasted and fed states in human ileal fluid samples
  • Conducted bacterial culture on ileal fluid samples
  • Demonstrated mastery of number of extraordinarily difficult techniques (e.g. LPS measurement)
  • Learnt immunohistochemical techniques working with other members of lab
  • Collaborated with other members of  lab and helped them in their experiments
  • Compiled data and sent to lab supervisor and principal investigator
  • Attempted collaboration with two other principal investigators by presenting data
  • Analyzed data using Excel
  • Assisted in analyzing data using SPSS software
  • Compiled data and generated detailed reports
  • Regularly presented data to weekly lab meeting
  • Generated award winning abstracts
  • Presented abstracts at scientific meetings
  • Generated manuscripts using Excel, Word and PowerPoint
  • Assisted with drafting initial version of one grand application
  • Revised grand applications before resubmission
  • Invented novel preventive and curative strategy for diabetes
Clinical Research Assistant 10/2011 to 03/2012 Pediatric Critical Care Unit, Massachusetts General Hospital, Harvard Medical School PI: Dr. Natan Noviski.MD
1. Investigation of the financial impact of out-of-pocket expenses on a family with a child admitted to the Pediatric Critical Care Unit.
  • Generated protocol for IRB submission
  • Generated new questionnaire
  • Interviewed parent of patient admitted to PICU
  • Acquired data
  • Drafted initial manuscript 
2. Investigation of the effect of transitioning a unit-based transport team to an external service on the PICU.
  • Conceptualized and designed the study
  • Acquired data
  • Drafted initial manuscript
  • Second authored one peer reviewed publication
Editorial Activities
Ad hoc Reviewer
  • Digestive Diseases Sciences (DDS)
  • Journal of International Medical Research (JIMR)
  • Medical Hypothesis
  • Nutrition Research
  • MNF

Other Editorial Roles

  • 'Lead Guest Editor'
  • Mediators of Inflammation journal
Education
Bachelor of Medicine, Bachelor of Surgery (MBBS) 2008 Thoothukudi Medical College Thoothukudi, Tamilnadu, India
Referees

1. Madhu S. Malo, MD, PhD

President & CEO, Atoxin Biotech

LLC100 Barber Ave

Worcester, MA 01606

Tel. 1-978-349-1748

Email: madhumalo@hotmail.com

www.atoxinbiotech.com

Ex. Associate Biologist (Molecular Biology)

Ex. Assistant Professor of Surgery (Molecular Biology)

Department of Surgery, Massachusetts General Hospital 

Harvard Medical School 

Boston, MA, 02114

2. Richard Aaron Hodin, MD

Chief for Academic Affairs, MGH Department of Surgery

Surgical Director, MGH Center for Inflammatory Bowel Disease

Chief, Endocrine Surgery

Division of General Surgery

Massachusetts General Hospital

15 Parkman Street, WANG (WACC)

460 Boston, MA 02114

Tel: (617) 724-2570

Fax: (617) 724-2574

Email: rhodin@partners.org

 

3. Brian Michael Cummings, MD

Attending in Pediatric Critical Care Medicine

Director, MGHfC Inpatient Quality and Safety

Chair, Pediatric Ethics Committee

55 Fruit Street, 

Boston MA, 02114-2696

Phone 1: 617-724-4380

Fax: 617-724-4391

Email: bmcummings@partners.org

Do you want similar resume?

Top Research Fellow skills

Take a look at the most common Research Fellow skills, don't hesitate to use them in your resume to catch recruiters' attention.

Experienced Research Fellow resume

Alyssa Smeding
Education
State University of New York at Cortland - Cortland, NY / May 2017 Bachelor of Science: Business Economics
  • 4.0  GPA
  • Graduated Summa Cum Laude & granted the Chair's Award for Academic Excellence, multiple President's list awards, multiple Dean's List Awards, and multiple Top 5% of Class awards
  • Member of Phi Kappa Phi Honor Society, the National Society of Leadership & Success, the Outdoor Adventure Club & participated in the Student Leadership Retreat

Université de La Rochelle - La Rochelle / Spring 2015 Study Abroad Program: Intensive coursework in French language and culture
Work History
Junior Analyst, Media Operations / / Brand Networks (Previously Tapad Media) - New York, New York / 10.2017 - Current
  • Strategically provide input at all phases of campaign management including rates, KPIs, proposals, campaign setup, and insights
  • Oversee day-to-day campaign management including pacing, performance, troubleshooting, and margin across several DSPs and social media platforms
  • Utilize campaign and company-wide raw data to draw analytical and insightful conclusions and effectively implement learnings into specific campaigns and overall workflow
  • Attained over $2MM in incremental dollars in 2018 through campaign performance and insights
  • Composed playbooks and best practices for the Media Operations team and consulted with the AdOps team to create standards for campaign setup and QA
  • Became a main point of contact across the Pre-Sales, Sales, Account Management, Creative, and AdOps teams for questions regarding UI capablilites, reporting capabilities, and campaign feasibility
Social Media & Marketing Associate / / Pollack Wellness Institute - Commack, NY, NY / 01.2017 - Current
  • Transformed the social media and marketing tactics for a small, growing business which included creating effective flyers, promotions, brochures, and social media posts, email campaigns to bring in new business.
Research Intern / / SUNY Cortland - Cortland, NY / 01.2017 - 05.2017
  • Conducted research on the gender wage gap using BLS data to examine the effects that occupational sex segregation, hours worked, educational attainment, and occupational industry have on the wage discrepancies in the U.S.
  • Presented all findings at the Transformations Research Conference.
Economic Statistics Tutor / / Dr. Kathleen Burke - Cortland, NY / 09.2016 - 12.2016
  • Offered Economic Statistics students additional assistance in homework, research projects, class work, difficult lessons, and test preparation.
Human Resources Intern / / Cortland Regional Medical Center - Cortland, NY / 08.2016 - 12.2016
  • Assisted with several Human Resources tasks, including reference checking, organizing termination paperwork, insurance procedures, new-hire procedures, and other HR clerical work.
Research Assistant / / SUNY Cortland Department of Economics - Cortland, NY / 01.2016 - 12.2016
  • Responsible for conducting research on the gender climate at SUNY Cortland, analyzing data, exploring literature, partaking in committee meetings, creating graphs and charts of qualitative and quantitative data and performing regression analysis using STATA. 
Research Fellow / / SUNY Cortland - Cortland, NY / 05.2016 - 09.2016
  • Awarded a Summer Research Fellowship to research the factors that influence the gender wage gap in the United States.
  • Responsible for cleaning data bases, conducting research to answer specific questions, and presenting findings in comprehensive graphs and charts using Microsoft Excel
Human Resources Intern / / Cassena Care - Woodbury, NY / 06.2016 - 08.2016
  • Addressed insurance invoices, Department of Labor paperwork, credentialing and created Excel spreadsheets to organize and simplify the organization's files.
Skills
  • Expertise in Microsoft Excel, Word, and PowerPoint
  • Skilled in analyzing quantitative and qualitative data
  • Expertise in The Trade Desk, Amobee, and Amazon DSPs
  • Trained in Facebook and Snapchat advertising platforms
  • Trained to use STATA data analysis program
  • Passionate about work and projects
  • Self-motivated and dedicated
Do you want similar resume?