Chunlin Li is an Assistant Professor and causal inference researcher whose work bridges statistical theory, machine learning, and applied statistics with a focus on causal learning and statistical computing. With eight years of research and teaching experience and a PhD in Statistics from the University of Minnesota, Chunlin has held roles from graduate instructor to research associate and faculty positions at Iowa State and the University of Virginia. Their work emphasizes methodological rigor applied to practical problems, often translating complex causal methods into computational tools for empirical research. Based in Charlottesville, they bring a strong computational mathematics background (BS from City University of Hong Kong) and a track record of mentoring large undergraduate classes while developing reproducible statistical software. An interesting thread in their profile is the steady progression from hands-on instruction in measure theory to leading causal learning research, highlighting both deep theory and practical implementation skills.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, 4/4, Doctor of Philosophy - PhD, Statistics, 4/4 at University of Minnesota
Bachelor of Science - BS, Computational Mathematics, 4.1/4.3, Bachelor of Science - BS, Computational Mathematics, 4.1/4.3 at City University of Hong Kong
Contributions:51 commits, 45 pushes, 1 branch in 1 month
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Chunlin Li - Assistant Professor at University of Virginia