Yixuan Huang is a senior data scientist specializing in AI/ML with 11 years of experience applying data-driven solutions to healthcare and social-good problems. Currently at Mosaic Clinical Technologies after clinical AI research at Harvard and data science roles at Genentech and Mathematica, Yixuan bridges policy-rooted rigor with production ML for clinical impact. Their background in public policy and health data science enables clear translation of complex analyses into actionable recommendations for stakeholders, from Senate offices to medical researchers. Equally comfortable with rigorous causal and statistical work as with engineering pragmatics, they pair a history of economic research on low-income populations with hands-on healthcare analytics. Based in Guangzhou but with a US-centered career and training, Yixuan also brings an Android development interest from their GitHub profile, hinting at a versatile, product-minded approach to building data tools.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Public Affairs, Bachelor's degree, Public Affairs at Wuhan University
Master of Public Policy, Public Policy Analysis, Master of Public Policy, Public Policy Analysis at Georgetown University
Master of Science - MS, Health Data Science, Master of Science - MS, Health Data Science at Harvard University
Contributions:10 commits, 2 PRs, 8 pushes in 9 months
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