Summary
Hengrui Cai is an Assistant Professor of Statistics at UC Irvine with eight years of experience bridging methodological research and applied machine learning. His PhD from NC State and strong quantitative background underpin work in optimization algorithms, reinforcement and deep learning, statistical modeling, causal inference, and precision medicine. He has industry research experience at Amazon and applied data science internships (DiDi, Mitacs) where he developed performant R tooling and neural-network based prediction models, reflecting a knack for turning theory into efficient, production-ready code. Known for accelerating computations (e.g., an R package with up to 500% speedup for clinical risk measures) and for teaching and service roles, he blends rigorous academic scholarship with pragmatic solutions to real-world problems.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, 4.00/4.00, Doctor of Philosophy - PhD, Statistics, 4.00/4.00 at North Carolina State University
Bachelor's degree, Statistics, 3.93/4.00, Bachelor's degree, Statistics, 3.93/4.00 at Zhejiang University