معرفی
Xinwei Ma is an Associate Professor in the Department of Economics at the University of California San Diego. He holds a Ph.D. from the University of Michigan (2019). His research focuses on econometric methodologies, causal inference, and their applications in healthcare and policy analysis. Key areas include machine learning integration in causal analysis, Mendelian randomization, and adaptive experimental designs.
Recent work explores HIV care disengagement prediction using language models, principal component analysis for mixed data types, and fair adaptive experimentation frameworks. His methodological contributions include boundary-corrected local polynomial estimators and tools for mediation analysis in genomics. He has developed R packages such as lpcde and lpdensity for statistical estimation.
Xinwei's research bridges theoretical econometrics with practical policy evaluation, emphasizing methodological rigor while addressing real-world challenges in healthcare and social sciences. His work has implications for public health interventions, tax policy design, and equitable algorithmic systems.
