Wenyu Chen
Research Scientist at Meta
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolWenyu Chen is a Research Scientist at Meta with a decade of experience applying statistical and computational modeling to high-dimensional and causal problems. Holding a PhD in Statistics from the University of Washington, Wenyu has developed theory and fast algorithms for structural and causal graphical models, and implemented research-grade R and Python packages bridging methodology and practice. At Meta’s Core Data Science team they focus on rigorous evaluation and analysis of GenAI systems, bringing academic rigor to production-scale problems. Prior work includes distribution-free prediction methods and efficient computational strategies from their time at the University of Chicago, reflecting a blend of theoretical depth and hands-on software development. Based in Seattle, Wenyu combines teaching, grant writing, and collaborative research with a knack for turning identifiability insights into practical tools.
9 years of coding experience
5 years of employment as a software developer
Ph.D, Statistics, 3.67, Ph.D, Statistics, 3.67 at University of WashingtonHigh School, 3.92, High School, 3.92 at Beijing No.4 High SchoolB.S. with Honors, Computational and Applied Mathematics, Statistics, 3.80, B.S. with Honors, Computational and Applied Mathematics, Statistics, 3.80 at University of Chicago
English, Chinese
Github Skills (7)
variance9
causal8
discovery7
causal-discovery6
prediction3
machine-learning2
python2
Programming languages (1)
Github contributions (5)
WY-Chen/Conformal-Lasso
Jun 2016 - Oct 2016
Contributions:13 PRs, 69 pushes, 15 branches in 3 months
pythonpredictionmachine-learningconformal-predictionlasso
WY-Chen/DAGDNA
Nov 2020 - May 2021
Contributions:4 pushes, 1 branch in 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.