Chen Liang
Research Scientist Intern at Meta
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolZhiliang Chen is a research-focused machine learning scientist with nine years of experience applying ML to large, complex systems, particularly autonomous vehicles and foundation models. He holds a PhD from the National University of Singapore and has combined academic depth with hands-on industry work at Motional and nuTonomy on trajectory planning, behaviour verification, and embodied AI. Currently a Research Scientist Intern at Meta working on optimal hyperparameter transfer across foundation model scales, he bridges scalable ML research and production realities. Based in the New York City area, he has a strong applied math background and a knack for turning traffic and vehicle data into robust verification metrics—an under-the-radar skill that informs his approach to complex system modeling.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, AI & ML, Doctor of Philosophy - PhD, Computer Science, AI & ML at National University of Singapore
Github Skills (37)
r9
kubernetes9
python9
q-learning8
kaggle8
classification8
lightgbm8
address-book8
data-mining8
gymnasium8
gradient8
parallel8
evaluation7
gradient-boosting7
machine-learning7
Programming languages (5)
Github contributions (5)
CS2102-Team-18/Project
Feb 2018 - Jan 2019
Contributions:23 commits, 5 PRs, 17 pushes in 10 months
crowdfundingpython
chenzhiliang94/SG-HDB
Jan 2018 - Oct 2019
Contributions:7 pushes, 1 branch, 4 issues in 1 year 9 months
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