Zhanyu Wang
Research Scientist at Meta
West Lafayette, Indiana, United States
Summary
👤
Senior🎓
Top SchoolZhanyu Wang is a research scientist with nine years of experience at the intersection of statistics, optimization, and machine learning, currently applying online constrained optimization and reinforcement learning to ads pacing at Meta. He holds a PhD in Statistics from Purdue and has a strong applied research track record, including a DP bootstrap method for differentially private inference and a COLING paper from work at Amazon that cut search costs dramatically. Zhanyu brings production impact—deploying an optimization-driven ads pacing algorithm at Meta that improved metrics on live traffic—alongside deep theoretical skills in differential privacy and optimization. He combines academic rigor (4.0 GPA PhD) with hands-on engineering across AutoML, deep learning, and large-scale search, and is comfortable translating research into measurable product gains.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Statistics, Master of Science - MS, Statistics at University of Chinese Academy of SciencesBachelor of Science (BS), Statistics, Bachelor of Science (BS), Statistics at Peking UniversityDoctor of Philosophy - PhD, Statistics, 4.0 / 4.0, Doctor of Philosophy - PhD, Statistics, 4.0 / 4.0 at Purdue University
English, Chinese
Github Skills (31)
bayesian8
model-compression8
statistical-inference8
probabilistic-programming7
probabilistic-models7
probabilistic7
mcmc7
bayesian-inference7
modeling6
pruning6
adversarial-machine-learning6
python6
bayesian-statistics6
variational-inference6
capsnet5
Programming languages (2)
Github contributions (5)
Zhanyu-Wang/gRDA-Optimizer
Sep 2019 - Mar 2023
Contributions:4 PRs, 10 pushes in 3 years 6 months
Zhanyu-Wang/Simulation-based_Finite-sample_Inference_for_Privatized_Data
Mar 2023 - Sep 2024
Contributions:11 pushes in 1 year 7 months
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