Shu Wan
Laboratory Manager
Tempe, Arizona, United States
Summary
👤
Senior🎓
Top SchoolShu Wan is a data-driven laboratory manager and researcher with a decade of experience applying statistical and causal inference methods to real-world marketplace problems. Currently leading operations at ASU’s Data Mining and Machine Learning lab while pursuing a Doctor of Science in Data Science, he bridges academic rigor with production experience. Previously a senior algorithm engineer and tech lead at DiDi, he drove pricing elasticity modeling, heterogeneous treatment effect estimation, and long-term policy evaluation for ride-hailing markets. Shu combines strong foundations in mathematics and statistics (Fudan University; GWU) with hands-on experimental design and decision-making in high-impact commercial settings. He has a track record of translating causal ML research into deployable systems and contributes to communities including DMML-ASU and CausalBench. Colleagues describe him as methodical and pragmatic—equally comfortable with theoretical nuance and messy, large-scale data.
10 years of coding experience
5 years of employment as a software developer
Doctor of Science, Data Science, Analytics and Engineering, Doctor of Science, Data Science, Analytics and Engineering at Arizona State UniversityBachelor’s Degree, Mathematics and Applied Mathematics, Bachelor’s Degree, Mathematics and Applied Mathematics at Fudan UniversityMaster’s Degree, Statistics, Master’s Degree, Statistics at The George Washington University Columbian College of Arts & Sciences
Chinese, English
Github Skills (50)
algolia10
ruler10
utterances10
github-pages10
jekyll10
algolia-search10
jekyll-theme10
triangular10
datasets9
torchvision9
computer-vision9
dplyr8
machine-learning8
r-package7
pytorch7
Programming languages (5)
Github contributions (5)
Shu-Wan/CrimeAroundYou
Jul 2016 - Feb 2020
An interactive crime map using Shiny
Contributions:15 commits, 2 PRs, 16 pushes in 3 years 7 months
shinycrimerstatsmap
Shu-Wan/Shu-Wan
Jul 2020 - Jul 2021
Contributions:6 pushes, 1 branch in 11 months
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