Wenyu Chen

Research Scientist, Central Applied Science

Wenyu Chen is a highly skilled researcher with a strong academic background in Statistics and Computational and Applied Mathematics. Chen obtained a B.S. with Honors from the University of Chicago and a Ph.D. in Statistics from the University of Washington, where involvement included roles as a PhD student and Research Assistant focusing on causal structural learning and various statistical methodologies. Experience spans significant positions at Facebook and Meta as a Research Scientist, contributing to machine learning modeling and data science research. Chen also served as a Graduate Teaching Assistant at the University of Washington, teaching statistical methods and programming in R and MATLAB, and held multiple grading and research roles at the University of Chicago, participating in both undergraduate teaching and research activities.

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