Zeyu Feng
Research Scientist at A*STAR Research
Singapore, Singapore
Summary
👤
Senior🎓
Top SchoolZeyu Feng is a research scientist based in Singapore with 10 years of experience at the intersection of representation learning, reinforcement learning, planning and neuro-symbolic AI. Currently at A*STAR after a research fellowship at the National University of Singapore, he combines deep academic training—a PhD in Computer Science from the University of Sydney—with applied research that bridges symbolic reasoning and learned representations. His background in engineering (MEng and BE in aeronautical/solid mechanics) gives him a practical, systems-minded approach to algorithm design and model deployment. He has taught graduate-level deep learning courses, indicating strong communication skills and experience mentoring the next generation of researchers. Colleagues describe him as someone who naturally blends theoretical rigor with pragmatic experimentation to tackle hard decision-making problems.
10 years of coding experience
Master of Engineering - MEng Solid Mechanics, Master of Engineering - MEng Solid Mechanics at Northwestern Polytechnical UniversityThe University of Sydney
English, Chinese
Github Skills (9)
information-theory8
robotics6
self-supervised-learning6
natural-language-processing5
computer-vision5
machine-learning4
deep-learning4
pytorch4
reinforcement-learning4
Github contributions (5)
philiptheother/cheat-sheet
Apr 2016 - Dec 2018
Contributions:11 commits, 2 PRs, 20 pushes in 2 years 9 months
clear-nus/SFT-CoP
Feb 2023 - Aug 2024
Contributions:3 pushes, 1 branch in 1 year 6 months
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