Steven Li is a data and analytics leader with 4 years of formal experience and a longer track record driving experimentation, product analytics, and predictive modeling across major consumer platforms and financial services. He has led centralized experimentation programs that delivered an estimated $150M incremental NPV and built standardized playbooks and training courses adopted into core governance. At Meta (Facebook) he designed hierarchical holdouts and advanced launch/testing strategies for products serving hundreds of millions of users, blending quantitative rigor with product intuition. Comfortable operating as a force multiplier, he scales impact through cross-functional coaching, curriculum design, and consultative forums supporting dozens of teams. Trained in economics, mathematics, and statistics (Yale, Michigan), he pairs rigorous academic grounding with practical solutions in credit risk, marketplace experimentation, and digital product measurement. An uncommon strength is translating complex statistical nuance (exposure imbalance, network effects, collision) into operational rules that teams actually use.
4 years of coding experience
14 years of employment as a software developer
Master of Arts (M.A.) Statistics, Master of Arts (M.A.) Statistics at University of Michigan
Bachelor of Arts (B.A.) Economics and Mathematics, Bachelor of Arts (B.A.) Economics and Mathematics at Yale University
This is an introductory Rust tutorial which contains visualizations generated with RustViz. It is intended to be used in the Rust unit in EECS 490 at the University of Michigan.
Contributions:1 PR, 59 pushes, 3 branches in 1 month
eecsrustmichiganunituniversity-of-michigan
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