Xiao Han
Applied Scientist at Twitch
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolXiao Han is an Applied Scientist with a decade of experience blending academic rigor and industry impact, currently working at Twitch/Amazon after completing a Ph.D. in Computer Science at Utah State University. His research and engineering focus spans anomaly detection, fairness-aware ML, root cause analysis, and reinforcement learning, with hands-on experience applying PPO and A2C to improve anomaly detection F1 scores and contributing to a patent during a Nokia Bell Labs internship. Xiao holds dual master’s degrees in Computer Science and Data Analytics and started his technical foundations with a CS and Finance double bachelor’s from Shandong University, reflecting a rare mix of technical depth and quantitative business sense. Based in Oakland, he’s eager to bring his LLM and RL expertise to game, banking, or software companies, and is known for collaborative problem-solving and a relentless drive to learn and iterate.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 3.91/4, Doctor of Philosophy - PhD, Computer Science, 3.91/4 at Utah State UniversityMaster of Science - MS, Data Analytics, 3.76/4, Master of Science - MS, Data Analytics, 3.76/4 at The George Washington UniversityMaster of Engineering (MEng), Computer Science, 3.63/4, Master of Engineering (MEng), Computer Science, 3.63/4 at Oregon State UniversityBachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Shandong University
English, Chinese
Github Skills (20)
unsupervised-learning9
outlier-detection8
anomaly-detection7
data-mining7
fraud-detection6
simulations6
machine-learning6
power-systems6
modeling-tool6
modeling5
verification5
python5
causal-inference4
jekyll-theme3
fairness-ml3
Programming languages (2)
Github contributions (5)
hanxiao0607/Resume
Dec 2018 - Mar 2025
Contributions:18 pushes, 11 branches in 6 years 4 months
hanxiao0607/Movie-Recommendation-System
Dec 2019 - Feb 2025
Contributions:19 pushes, 1 branch in 5 years 3 months
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