Yingxi (Jessica) Li Email & Phone Number

New York, Ny

• Organize the raw data in SQL server and use Machine Learning methods: Random Forest, K-Nearest Neighbors, and LogisticRegression to explore the relationship of heart disease and potential factors in R• Implement the simulation, Voom Limma method and Bayesian model averaging approach to identify differentially expressedgenes in association with a single or multiple patient level factors using RNA-seq gene expression data• Calculate the power, sample size and efficacy of Clinical Trails for further statistical analysis of new drug

Beijing, China

• Made valuation through Discounted Cash Flow Valuation, Relative Valuation and Contingent Claim Valuation• Conducted analysis on mutual funds (money market funds, bond funds, equity funds, balanced funds) together with research group to share reports to internal and external clients

Beijing City, China

• Collaborated with senior manager and two team members developing default models with loan level origination informationand economics factors of CMBS using logistic regression in R to build the transition matrix• Developed weekly reports concerning Asset-Backed Securities (ABS) based on market research analysis• Analyzed various types of asset securitization cases through the WIND terminal and synthesized the different yields of primary,secondary, subordinated bonds and bond ratings data into compelling graphics for investors’ decision-making

Master Of Science – M.S. Biostatistics And Data Science, Biostatistics And Data Science, 4.1/4.3

Bachelor Of Arts – B.A., Actuarial Science And Risk Management, Actuarial Science And Risk Management