Hang Liu
Applied Scientist at Amazon
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolHang Liu is an applied scientist with eight years of experience marrying rigorous academic research (PhD-level work at the University of Toronto and a postdoc in advanced micro/nanosystems) with production ML and analytics across healthcare, finance, and tech. Currently at Amazon after progressing from data science roles at Unity Health, Vector Institute and major Canadian banks, she translates complex quantitative models into actionable business insights and clear stories for stakeholders. Comfortable both in research environments and production settings, she brings strong programming skills, probabilistic ML expertise, and a track record of moving models from prototype to impact. Notably, her background spans hands-on experimental research and large-scale analytics, enabling a rare blend of domain depth and product-focused execution.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy, Doctor of Philosophy at University of TorontoBachelor of Engineering, Bachelor of Engineering at Harbin Institute of TechnologyMaster of Science, Master of Science at Carnegie Mellon University
Chinese, English
Github Skills (8)
typescript8
vscode-extension7
microsoft7
electron7
vscode7
editor7
visual-studio-code6
visual-studio6
Programming languages (1)
Github contributions (5)
robotVisionHang/LiveBirthPrediction_Data_Code
Oct 2022 - Jan 2023
Contributions:8 commits, 12 pushes, 1 branch in 2 months
robotVisionHang/BlastScoringNet
Nov 2024 - Feb 2025
Contributions:8 pushes in 3 months
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