Lee Richardson is a Sr. Data Scientist and Tech Lead at Google with 12 years of experience bridging rigorous statistics and production-scale machine learning. Trained at the University of Washington and Carnegie Mellon (PhD in Statistics), Lee transitioned academic research into industry impact after leading statistical research and computational projects at CMU and NCAR. At Google he combines deep probabilistic modeling and large-scale data systems to deliver robust, production-ready analytics and ML solutions. Known for a research-first mindset, he brings reproducibility and advanced uncertainty quantification into engineering teams. Based in San Francisco, he maintains an active technical presence online, sharing research and code that reflect both theoretical depth and pragmatic engineering.
11 years of coding experience
4 years of employment as a software developer
Mathematics B.S. and Statistics B.S, Mathematics, Mathematics B.S. and Statistics B.S, Mathematics at University of Washington
Master’s Degree, Statistics, Master’s Degree, Statistics at Carnegie Mellon University
Contributions:21 commits, 18 pushes, 1 branch in 2 years 2 months
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