Xi LUO is a Professor and statistical scientist with 14 years of academic experience translating machine learning and convex optimization theory into practical tools for big-data science and high-dimensional inference. Trained at Yale in Statistics and with a geophysics background from Peking University, Xi blends rigorous methodological development—spanning causal inference, network and time-series modeling, and imaging/genomics analysis—with hands-on software development for statistical computing. Having held faculty roles at Brown and UTHealth before becoming Professor at UTHealth Houston, Xi has a strong track record of bridging neuroscience and mobile-phone data applications alongside traditional bioinformatics. Known for tackling computationally intensive problems, Xi brings an uncommon mix of applied domain breadth and theoretical depth that informs predictive modeling pipelines used in both research and translational settings.
14 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BS), Geophysics, Bachelor of Science (BS), Geophysics at Peking University
Doctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at Yale University
Contributions:2 reviews, 6 PRs, 521 pushes in 9 years 7 months
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