Hello, nice to meet you!

I’m a PhD candidate in Biostatistics (Biomedical Data Science) at the University of Wisconsin—Madison. My research primarily focuses on causal inference, semiparametric theory, clinical trials, and statistical methods for anomaly/risk detection (central statistical monitoring). I’m also enthusiastic about developing statistical software and data visualization in R. My advisor is Prof. Lu Mao.

My professional experience includes internships at Gilead Sciences and research roles at UW-Madison. I’ve contributed significantly to R projects such as {gsm}, {robustGMM}, {complyr}, and {upim}. Additionally, I possess strong proficiency in programming languages and tools like Python (NumPy, pandas, scikit-learn, PyTorch) and SQL.