Corporate finance and investor relations associate

• Jun 2021 - Present

Data Science Fellow

• Sep 2020 - Nov 2020

• An intensive data science training program with an acceptance rate of 3% • Weekly projects: identified popular celebrities by scraping more than 1,200 webpages from New York Social Diary website and constructed social network using NetworkX; predicted Yelp ratings with features extracted from 30,000 Yelp reviews using scikit-learn; analyzed more than 500,000 records of restaurant inspection data using SQL; analyzed Stack Exchange data using PySpark • Capstone project: compared beauty products’ ingredients using PCA and cosine similarity; built a web application visualizing the data using Altair, HTML, JavaScript and Flask Show less

Eli Stahl Lab Graduate Student

• Jul 2016 - Oct 2020

• Preprocess and perform quality control of exome sequencing data of 1,000 bipolar patients; remove outliers using PCA based on samples' genetic profile and adjust for batch effect to make case and control groups more comparable using an mahalanobis distance • Evaluate the genetic burden using logistic regression model • Manuscript submitted to Molecular Psychiatry, a biology journal with an impact factor of 12 • Preprocess and perform quality control of exome sequencing data of 1,000 bipolar patients; remove outliers using PCA based on samples' genetic profile and adjust for batch effect to make case and control groups more comparable using an mahalanobis distance • Evaluate the genetic burden using logistic regression model • Manuscript submitted to Molecular Psychiatry, a biology journal with an impact factor of 12

Equity Research Associate

• Jan 2020 - Mar 2020

• Read 10+ scientific literatures and prepared 6-page scientific writings on gene therapy methods, with writings later internally published in the investment bank • Summarized company pipelines, business strategies and research results for four gene therapy companies • Read 10+ scientific literatures and prepared 6-page scientific writings on gene therapy methods, with writings later internally published in the investment bank • Summarized company pipelines, business strategies and research results for four gene therapy companies

Bootcamp in FinTech

• Aug 2019 - Feb 2020

• A 24-week intensive program on data visualization, machine learning and blockchain • Identified the top 500 outperforming stocks in the next month using a rolling 12-month window of technical and fundamental metrics • Built three machine learning models (gradient boosting, random forecast, neural network) to predict the probability of outperformance against S&P 500 index • Gradient boosting model was chosen based on the superior precision score and excess return (25%) • A 24-week intensive program on data visualization, machine learning and blockchain • Identified the top 500 outperforming stocks in the next month using a rolling 12-month window of technical and fundamental metrics • Built three machine learning models (gradient boosting, random forecast, neural network) to predict the probability of outperformance against S&P 500 index • Gradient boosting model was chosen based on the superior precision score and excess return (25%)

Bioinformatics Summer Intern

• Jul 2019 - Sep 2019

• Singlehandedly built an analysis pipeline for next generation sequencing data from scratch • Used various bioinformatics tools to predict tumor-specific epitopes for personalized cancer treatment • Singlehandedly built an analysis pipeline for next generation sequencing data from scratch • Used various bioinformatics tools to predict tumor-specific epitopes for personalized cancer treatment

Equity Research Summer Intern

• Apr 2019 - May 2019

• Evaluated Illumina company’s stock value using DCF model and three financial statements • Conducted deep dive research on Illumina that includes competitive landscape, existing technology assessment and industry overview and wrote one-page stock pitch that advises a buy on the stock based on the company’s dominance in the DNA sequencing market and the fast growing genetic testing industry • Evaluated Illumina company’s stock value using DCF model and three financial statements • Conducted deep dive research on Illumina that includes competitive landscape, existing technology assessment and industry overview and wrote one-page stock pitch that advises a buy on the stock based on the company’s dominance in the DNA sequencing market and the fast growing genetic testing industry

• Feb 2011 - May 2013

Have been trying to develop potential novel antibiotic that works by interacting with the riboswitch region of mRNA. Presented the results at Mid-Hudson ACS Undergraduate Chemistry Research Symposium.

• Jan 2013 - Feb 2013

Taught and coached middle school students various scientific experiments.

Biomedical Research Intern

• May 2011 - Jul 2011

Worked in a zebrafish lab that investigates retina regeneration. Worked in a zebrafish lab that investigates retina regeneration.