Jane W
Researcher at Georgia Institute of Technology
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolJane W is a machine learning researcher and engineer with a decade of experience applying ML to high-impact, production-scale systems across industry and academia. Based in the San Francisco Bay Area, she has led fraud and bot-detection efforts at ByteDance impacting 100M+ DAU, built disk-failure and anomaly-detection systems at Alibaba and Noah’s Ark Lab, and now publishes applied ML research at Georgia Tech with multiple first-authored papers and two open-source releases. Her work spans recommendation integrity, live-stream manipulation detection, time-series interpolation for missing clinical data, and mortality prediction, demonstrating a rare blend of representation learning, feature engineering, and systems thinking. She consistently moves ideas from prototype to large-scale deployment—e.g., ML-driven governance pipelines and registration-time bot detectors with >99.9% precision. Open to relocation and authorized to work full-time in the U.S., she combines strong academic credentials from Tsinghua and Georgia Tech with hands-on experience in commercial ML at billion-user scale.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of TechnologyMaster's degree, Computer Science, Master's degree, Computer Science at Tsinghua UniversityBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Central South UniversityProgramming languages (1)
Github contributions (5)
littlew/CellPAD
Jun 2018 - Mar 2021
Contributions:2 commits, 1 push, 1 branch in 2 years 9 months
littlew/littlew.github.io
Jun 2016 - Feb 2017
Contributions:47 pushes, 1 branch in 8 months
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