Xiaoyan Wang
Research Scientist at Meta
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolXiaoyan Wang is a research scientist based in Cambridge, MA with a decade of experience at the intersection of probabilistic modeling and software engineering. At Meta she leads the PyTorch integration for Bean Machine within the Bayesian Modeling team, translating advanced probabilistic research into production-quality tooling. Her background spans academic research and teaching in numerical methods and machine learning, plus internships at IBM and Facebook that informed practical NLP and AI-reasoning systems. She co-founded a startup early in her career and builds developer-facing tools—her GitHub describes a playful semi-automatic code generator powered by "boba and coffee," hinting at pragmatic automation habits. Consistently top-performing academically, she holds CS degrees with perfect GPAs and brings both rigorous theory and hands-on implementation to complex ML infrastructure. Her profile signals a rare blend of probabilistic research leadership and everyday engineering craft.
10 years of coding experience
1 year of employment as a software developer
University of Illinois Urbana-ChampaignComputer Science, 4.0 / 4.0, Computer Science, 4.0 / 4.0 at University of California, Santa Barbara
English, Chinese
Stackoverflow
3reputation
156reached
0answers
1question
Github Skills (107)
benchmark10
probabilistic-programming10
truncate10
density-estimation10
robotics10
system-programming10
probabilistic-programming-languages10
ppl10
statsmodels10
computer-vision10
router10
bayesian10
probabilistic-models10
statistical-inference10
probabilistic10
Programming languages (11)
Github contributions (5)
Horizon-Blue/thehorizon.blue
Apr 2017 - May 2018
Contributions:207 commits, 22 pushes in 1 year
horizon-blue/beanmachine
Dec 2021 - Nov 2022
A library that allows for inference on probabilistic models
Contributions:70 pushes, 79 branches in 10 months
inferencemachine-learningprobabilistic-programmingprobabilistic-modelsprobabilistic
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