Statistics Intern, Biostatistics Department at I-MAB
Biopharma
06/2022 – 08/2022, Gaithersburg, MD
Reorganized and cleaned original clinical data using Microsoft Excel according to the format in the trail protocol Visualized data using both R and SAS and highlighted important information on the graphs, revised the graphs according to the progress of the trails
Updated and improved the graphs’ quality using ggplot2, made interpretations based on the results, and communicated results with coworkers during weekly meetings
Statistics Intern, Statistics Analysis Department at MacroStat (China) Clinical Research Co., Ltd., Tigermed
05/2021 – 08/2021, Wuhan, CN
Learned the complete Standard Operating Procedure for a Contract Research Organization and applied them to example scenarios and real situations
Utilized SAS to reorganize over 50 simulated databases and 10 databases provided by clients, and revised the existed functions, which increased efficiency by around 20%
Assisted manager in refining and checking the formats of over 200 tables required by partner companies
Data Analyst Intern, Strategic Investment Department at The Arena Capital
08/2020 – 09/2020, Shanghai, CN
Cases: Trading Card Market in China; Domestic Male Personal Care; Government’s Control Over Dietary Supplement; Scale Model Kit and Blind Toy Box Market
Collaborated to collect sale information from over 500 potential companies from annual reports, set up face-to-face interviews, anonymously surveyed popular E-commerce platform feedback
Communicated with 23 targeting companies, updated meeting notes, and evaluated products as a customer
Developed concise proposals using Excel and PowerPoint and delivered presentations in front of teams
Vaccine Adverse Event Reporting System Analysis
Researcher, Supervised by Dr.Oliver He, Ann Arbor, MI, 05/2022 – 08/2022
Assembled similar cases in other fields and filter possible methods for future adaptation. Modified methods like EBGM and openEBGM, tested with simulated dataset, and implement with over 10,000 cases provided on the VAER website
Reflected on the limitations of methods and atypical warnings. Provided alternative methods and compared the results
Factors That Influence Covid-19 Vaccination Rate
Researcher, Michigan Data Science Team in Ann Arbor, MI, 08/2021 – 04/2022
Focused on studying the factors including government policy, economy, education that influence vaccination rate; Explored Kaggle to gather and select over 50,000 pieces of data
Reviewed and manipulated python on Jupyter Notebook to clean and filter valid Covid-19 vaccination-related data, and decreased computational rate by 65.5%
Conducted regression model analysis and performed data visualization the provide visual aid
Modeling Immunotherapy of The Tumor
Researcher, Supervised by Dr. Jackson Trachette in Ann Arbor, MI, 08/2021 – 12/2021
Used background information to generate at least 3 possible models of tumor-immune interaction, and translated them into several equations that could reflect relationships and simplified them with methods like nondimensionalization
Optimized models by adding equations that incorporated interventions of other factors and possible treatments
Performed steady states analysis, generated phase portraits and bifurcation diagrams for our models using MATLAB, and compared the results under different conditions and provided insights regarding possible immunotherapy solutions
Lorenz and Concentration Curves, Nutrition Inequality, and Implications for Adult Health
Research Assistant, Supervised by Dr. Kerby Shedden in Ann Arbor, MI, 01/2021 – 04/2021
Consulted and utilized statistics concepts (focus on Lorenz curve, lowess algorithm, concentration curve, etc.) on simulated data in R studio
Stratified the database with 8 categories and operated data visualization by sex and age using R studio, and instilled potential interactions with background information