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Professional Summary

Master's student of biomedical engineering that focus on image analysis. Experienced in computer vision and machine learning. For the first time characterized biological images synthesized by deep generative models. Other achievements include developing a pipeline to extract the properties of objects in microscopy images for pathology study. Skilled in Python and Matlab.

Education
December 2018
Master of Science: Biomedical engineering
Carnegie Mellon University - Pittsburgh
  • Research focusing on realistic biomedical image processing and analysis.
  • QPA: 3.74/4.0
July 2017
Bachelor of Science: Biological science
Fudan University - Shanghai, China
  • Specialized in bioinformatics and genomics.
  • GPA: 3.26/4.0
Research
06/2018 to Current
Research Student Carnegie Mellon University Pittsburgh, Pennsylvania
  • Synthesized realistic biological images with generative adversarial networks. For the first time characterized the strengths and weaknesses of the networks in biological image synthesis.
  • Segmented microscopy images and extracted region properties of different organelles inside the cell. The data has revealed novel biological processes that caused Mucolipidosis (a disease that causes metabolic disorders).
  • Currently working on new network architectures that possess additional capability in biological image synthesis.
10/2016 to 05/2017
Research Assistant Chinese National Genome Center Shanghai
  • Carried out the genome-wide analysis of Echinococcus granulosus (human parasite) long non-coding RNA (lncRNA) and designed algorithms to organize and quantify genes. Proficiently used Python and R to screen and visualize large quantity of lncRNA expression data.
Projects

Optical character recognition using Neural networks

Feb. 2018 - Mar. 2018

  • Implemented artificial neural networks from scratch and achieved 90% accuracy in the image classification of handwriting letters.

Lucas-Kanade Tracking

Apr. 2018 - May. 2018

  • Implemented Lucas-Kanade algorithm from scratch to successfully track lesion site in Ultrasound video.
Publications

To be determined

Publications

To be determined

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Summary

I have experience in research using statistics and numerical analysis. My skills include explaining, analyzing, and coding solutions to a variety of problems of data science and applied mathematics.

Skill Highlights
  • Fluent in Python and experience with several mathematical libraries such as pandas, sciKit-learn, and Tensorflow.
  • Fluent in Matlab.
  • Experience in R, C++, and SAS/SQL.
  • Interpolation techniques, such as polynomial interpolation and Gaussian processes.
  • Mathematical optimization via gradient descent and Markov chain Monte Carlo methods.
  • Analysis and forecasting of time series.
  • Approximation of solutions to differential equations.
  • Theory and application of machine learning topics, ranging from classification/regression algorithms to clustering methods and dimensionality reduction techniques.
Experience
Analyst Intern
June 2019 to August 2019
Constellation Energy Baltimore, MD

Intern in the Pricing and Structuring team. Retrieved, cleaned, and inserted data sets into Constellation's system, and performed forecasting analysis on time series data. Data retrieval and insertion was completed in Python and MATLAB, while forecasting analysis was completed in Python with sciKit-learn and Tensorflow.

Experimental Particle Research Assistant
January 2015 to May 2017
IceCube Neutrino Observatory

Experimental work in particle physics. Extracted and read large data sets of muon and neutrino flux and analyzed their correlations with atmospheric temperature. Coding was completed in Python, and data extraction was done through remote servers with UNIX.

Education
Master of Science : Data Science, May 2020 University of Delaware Newark, DE, United States
Bachelor of Science : Applied Mathematics, 2018 University of Delaware Newark, DE, United States
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Skills
video production
Experience
Research Assistant
January 2017 to July 2017
Georgetown University School of Nursing and Health Studies
  • Communications Associate Georgetown University Center on Education and the Workforce, January 2018 - present, track media coverage, develop visual and written content for web and social media, collaborate on video production, and assist with overall team operations.
Research Assistant
July 2015
Fairfax County Office of Neighborhood and Community Services
  • Division 1A Athletic Directors' Association, Summer 2016, created database and wrote brief biographies for Division 1A athletic directors.
  • Fairfax County Youth Leadership Program-selected to represent McLean H.S.
  • as one of 30 high school students county-wide attended seminars, participated in community outreach events.
Education and Training
Spring 2018 Georgetown University College GPA: 3.6
Diploma : 2018 McLean High School McLean, Advanced GPA: 4.4 Deputy Sports Editor, The Hoya, Georgetown University student newspaper, spring *Assistant Sports Editor, The Hoya, Georgetown University student newspaper, current *Reporter, selected as member of The Hoya sports section, 2016-2017 *Mentor, Stride for College, work one-on-one with a first-generation college student in completing the college application process,
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Summary

Highly motivated, detail oriented recent college graduate seeking challenging opportunities in marketing/financial services.  You will find that I am a highly responsible, high energy person with exceptional interpersonal skills who works very well under pressure and enjoys interacting with the public both in person and on the phone.  

Education
Bachelor of Science: Marketing Quinnipiac University, Lender School Of Business Hamden, CT
  • Quantitative Courses Completed: Finance, Macro and Micro Economics, Business Statistics, Applied Calculus
  • Cumulative GPA: 3.2
Experience
Account Executive 03/2020 to 04/2020 Yelp Inc. New York, NY
  • Reached out to around 100 small/medium sized business in Canada via phone and email daily.
  • Wanted each business to become advertisers on Yelp and get their pages promoted for more viewership.
  • Went through a rigorous 2 week training to help overcome objections over the phone to keep the business owner on the line and engaged throughout the conversation.
Client Service Associate 10/2018 to 03/2019 Oppenheimer & Co. Inc. New York, NY
  • Worked on the Corporate Cash Management team and helped manage the day-to-day functions of a book totaling over $8 billion in corporate cash assets
  • Sent out prospecting letters and set up calls between our Managing Directors and potential new clients
  • Ran monthly portfolio summaries for clients including earned interest income, top holdings, and credit rating percentages of the total portfolio value
  • Responsible for sending out morning daily rates from various money market funds to select clients
  • Responsible for answering daily phone calls from clients and the movement of money in their accounts via wire or journal
Intern 12/2017 to 01/2018 Morgan Stanley Port Jefferson, NY
  • Worked under a Senior Financial Advisor who specialized in goals based wealth management.
  • Ran financial plans, asset allocation models, assisted in mutual fund research.
  • Assisted the FA in all aspects of his marketing efforts to help grow his business.
Client Associate 05/2017 to 08/2017 Wells Fargo Advisors Garden City, NY
  • Directly worked under four Financial Advisors, helped manage books totaling over $400 million.
  • Worked on a day to day basis with clients in person and over the phone.
  • Responsible for moving money between house held accounts, ACH money to checking accounts, and sending out checks to clients per request.
  • Made Excel Spreadsheets for each FA helping to organize their clients in a monetary or alphabetical order.
Research Assistant 01/2017 to 04/2017
  • Petnet is an Internet of Things (IoT) technology company and the creator of the SmartFeeder pet-feeding device. The SmartFeeder uses proprietary data and algorithms to feed the pet perfect portions and make optimal food recommendations for the pet.
  • Researched, collected, and prepared dog and cat breed data for inclusion in the Petnet "K-nearest neighbors" endemic pet food recommendation service. This service uses a pet's breed history and endemic food availability to determine which of the commercially available foods is the best fit for a dog or cat.
  • Mapped and determined an ingredient ontology for use in the endemic recommendation algorithm.
  • Worked directly with the VP of Food, Data, and Analytics.
Interests
  • Delta Tau Delta Fraternity- Quinnipiac Community Outreach Chair/New Member Education Committee
  • Organized and engaged in philanthropic fund raising events for our national philanthropy, Juvenile Diabetes Research Foundation (JDRF)
  • Organize teams for other philanthropic events around campus as well as encourage brothers to attend and donate to the cause
  • Help new members of our fraternity understand the foundation and history of Delta Tau Delta
Skills
Microsoft Word, PowerPoint, and Excel, and all aspects of Social Media
  • Articulate public speaker
  • Multi-media marketing