Summary
Li Ma is a Professor of Statistics and Data Science with over a decade of academic experience bridging rigorous methodology and applied collaboration. Trained at Stanford (PhD) and the University of Chicago, Li’s research focuses on synthetic data, generative models, tree-based and nonparametric methods, Bayesian modeling, and scalable statistical computation for large, complex datasets. Having held faculty roles at Duke and visiting positions in Europe and Chicago, Li combines deep theoretical insight with practical problem-solving in interdisciplinary teams. Beyond teaching and mentoring, Li pursues statistics as a hobby, which fuels creative approaches to reproducible data synthesis and methodological tools that address real-world privacy and inference challenges.
10 years of coding experience
12 years of employment as a software developer
BAs in Math and Economics, BA/MS in Statistics, BAs in Math and Economics, BA/MS in Statistics at University of Chicago
PhD, Statistics, PhD, Statistics at Stanford University
English, Chinese