Zhen Wu Email & Phone Number

Princeton, NJ, US

New Jersey, United States

• Assisted with the preparation of clinical/RWE study reports, Statistical Analysis Plans, manuscripts, and other scientific documents for 2 ongoing clinical trials.
• Formulated and deployed 5 production-level R Shiny app deliverables with documentation, version control, and testing. Enhanced 3 statistical packages related to data preparation and data manipulation in R and Python.
• Collaborated with client teams to clean clinical trial data from various sources, create 50+ statistical tables, figures, and listing in R, and debug 20+ issues in existing R functions.

San Francisco, California, United States

• Originated 10+ new functions to help generate more “reasonable” synthetic data based on the current R package, which creates synthetic patient data from SDTM specifications for e-CRF.
• Extracted mean and standard deviation for numeric variables from 100k+ real-world patient data and randomly generated synthetic data under normal distribution. Stored 15 string values for each character variable from.
• Extended the package to create synthetic data for non-CRF by designing new variable mapping methods and implementing the above functions used to generate “reasonable” data.
• Published the code on GitHub using unit tests and CI/CD pipelines. Debugged 15+ issues regarding the R package reported to the GitHub repo.

New Haven, Connecticut, United States

• Taught the research team data analysis with R and hypothesis testing.
• Performed data cleaning, survival analysis, and KM curve visualization on clinical data obtained from peripheral artery disease patients.
• Published paper 'Comparative Outcomes of Peripheral Vascular Intervention in Patients on Chronic Anticoagulation With Factor Xa Inhibitors and Vitamin K Antagonists'.

Atlanta, Georgia, United States

• Implemented the SIR model (Susceptible-Infective-Recovered) in MATLAB to model COVID-19 trends in the US.
• Solved the linear system and plotted the numerical solution to test the model's consistency and accuracy.
• Applied local mobility (state's inflow and outflow of people) into the model to achieve higher accuracy.
• Prototyped an object-oriented solver featuring encapsulation and inheritance. The solver included the GU Class (local model) and the Domain Class (global model).

Beijing, China

• Initiated a project to retrieve warning messages from the SQL database and visualize them on the internal website.
• Designed 8 backend JavaScript files connected to the SQL database using the Spring framework. Connected the backend to the frontend self-developed HTML file.
• Delivered an interactive dashboard that tracked the website’s reliability and latency with statistical analysis in Python.

New York, United States

• Conducted data cleaning, missing data imputation and Exploratory Data Analysis on the last 5 years of MLB baseball player data using R and Microsoft Excel.
• Developed a K-means clustering with K = 3 selected through the silhouette method to segment and label players based on their season performance, physical quality, and salary.
• Constructed a logistic regression model to predict if a player was undervalued in the league, achieving an AUC of 0.8.

Beijing, China

• Designed and launched a personal homepage with HTML and CSS3.
• Prototyped a computer game (plane battling) with Python's game-writing module.
• Worked on a video capturing project to design the metrics for analyzing jumping a rope, which belonged to a larger project - designing an AI diagnosis system that can help to identify Developmental Coordination Disorder.

Master Of Science - Ms, Biostatistics Data Science, 4.0 / 4.0

Activities and Societies: Chinese Teaching Assistant

Bachelor Of Science - Bs, Applied Mathematics And Statistics, 3.8 / 4.0

Activities and Societies: International Student Advocacy Board, QTM 100 teaching assistant, Oxford organic farm