Yifei Wang
Machine Learning Scientist at Apple
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolYifei Wang is a Machine Learning Scientist with eight years of experience blending rigorous academic research and applied ML, currently working on All-Scale Modeling at Apple in Palo Alto. A Stanford PhD candidate in Electrical Engineering advised by Mert Pilanci and David Tse, he specializes in convex neural networks, Bayesian inference, convex optimization and multi-armed bandits, and brings strong theoretical grounding to production ML problems. His background includes deep investigations into blockchain protocol design and tokenomics—experience that combines large-scale data analysis with incentive modeling from internships like BabylonChain. Comfortable moving between provable theory and NDA-bound industrial projects, he has a track record of turning mathematical insights into practical systems and exploratory analyses.
8 years of coding experience
Bachelor of Science - BS, Computational and Applied Mathematics, Bachelor of Science - BS, Computational and Applied Mathematics at Peking UniversityDoctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Stanford University
Github Skills (17)
matlab7
suitesparse6
sparse-matrix6
mongoose6
backpack5
mathematics5
sparse5
graph-algorithms4
umfpack4
backpropagation4
matrix4
cpp4
quantities3
gradient3
pytorch2
Programming languages (3)
Github contributions (5)
YiifeiWang/AppliedMathTools
Jan 2018 - May 2018
Contributions:24 PRs, 17 pushes, 1 comment in 4 months
pythonmathematicsseminarapplied-mathematicsapplied
YiifeiWang/LASSO
Dec 2018 - Jan 2019
Contributions:9 commits, 4 pushes, 1 branch in 1 month
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.