Summary
Timothy Shen is a PhD Biostatistics student and teaching assistant at UCLA with a strong foundation in applied statistics and data engineering from UC Davis. He has hands-on research experience across biomedical settings—contributing R packages, Shiny apps, and data infrastructure for chronic fatigue syndrome research and developing HLA-loss detection models at Immucor. Comfortable in R, Python, Excel and expanding into SAS and JASP, he bridges technical implementation with clear communication to non-technical collaborators. His background tutoring and leading STEM workshops shows a knack for making complex quantitative concepts accessible, and his GitHub work includes tooling that improved researcher workflows. Passionate about using data to tell meaningful stories, he pairs academic rigor with practical impact in health-focused analytics.
12 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Statistics, Bachelor's degree, Statistics at University of California, Davis
University of California, Los Angeles