Runzhe Yang
Research Scientist at Princeton Univeristy
Princeton, New Jersey, United States
Summary
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SeniorRunzhe Yang is a Machine Learning Scientist and Quantitative Researcher with a decade of experience applying advanced learning algorithms and theoretical neuroscience to financial trading and AI research. He holds dual PhDs in Computer Science and Neuroscience from Princeton and has moved between top research labs and industry, including Google Brain, the Simons Foundation’s Flatiron Institute, and SIG. His work spans game theory, neuro-inspired ML, multimodal LLMs, and AI for scientific discovery, blending deep theory with practical, production-minded quantitative research. At SIG he focuses on translating cutting-edge models into tradable signals, leveraging both rigorous theory and empirical validation. Known to mentors like Mitya Chklovskii and Yuan Cao, he brings a rare combination of neuroscience intuition and ML engineering. Based in New Jersey, he combines academic depth with hands-on impact in high-stakes, latency-sensitive environments.
11 years of coding experience
Github Skills (6)
reinforcement-learning10
datasets6
player3
php2
statistics2
ai-agent1
Programming languages (3)
Github contributions (5)
RunzheYang/Rz_compiler
Apr 2016 - May 2016
Contributions:69 commits, 66 pushes, 1 branch in 1 month
RunzheYang/MORL
Oct 2017 - Nov 2020
Multi-Objective Reinforcement Learning
Contributions:269 commits, 5 PRs, 16 pushes in 3 years
reinforcement-learning
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