Chi Choi is an engineer and PhD statistician based in Davis, CA, with 11 years of experience applying rigorous statistical modeling to real-world problems across industry and academia. He has contributed to autonomous vehicle planning at NVIDIA and advanced forecasting, privacy, and human-evaluation efforts at Google and Uber, blending probabilistic modeling, ML, and scalable pipeline implementation. His background includes doctoral research in statistics and cosmology, teaching experience across undergraduate and graduate levels, and internships that turned experimental vegetable-quality data and map-routing tasks into production-ready insights. Comfortable with Stan, PySpark, scikit-learn, and long-horizon time series architectures, he moves fluidly between research-grade methods and engineering constraints. Notably, he has translated hierarchical Bayesian models into R packages and deployed seasonality-aware neural approaches, demonstrating a track record of turning complex academic methods into operational tools.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at University of California, Davis
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