Summary
Min Lu is an Associate Professor of Biostatistics at the University of Miami with 11 years of experience developing machine learning methods for individualized treatment effect (ITE) estimation. Her research bridges causal inference and precision medicine, producing flexible approaches that handle continuous, binary, and survival outcomes. She progressed from research assistant to faculty, earning a PhD in Biostatistics at Miami and bringing a rigorous, data-driven perspective to clinical decision-making. Min’s work emphasizes practical personalization—translating complex causal models into tools that inform patient-level treatment choices. Based in Miami, she combines strong methodological depth with applied collaborations across the Miller School of Medicine. An economist by undergraduate training, she brings an uncommon blend of quantitative economics and biostatistical causal modeling to health-data problems.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at University of Miami
Bachelor's Degree, Economics, Bachelor's Degree, Economics at Dalian University of Technology
Chinese, English