Jiachen Yang
Machine Learning Engineer
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJiachen Yang is a Machine Learning Engineer with a PhD from Georgia Tech and a decade of experience applying multi-agent deep reinforcement learning to scientific problems. His doctoral work on cooperation in multi-agent RL underpins a research-driven approach to accelerating computational science with ML. Based in San Francisco, he blends theoretical rigor with practical implementation, translating research ideas into reproducible experiments and scalable models. He is comfortable across the research-to-production boundary, focusing on complex coordination problems that arise in scientific simulations and autonomous systems. Colleagues would describe him as curious and methodical, consistently pushing for interpretable, cooperative solutions rather than black-box performance gains.
10 years of coding experience
Georgia Institute of Technology
Chinese, English
Github Skills (45)
reinforcement-learning10
optimization10
data-science9
parallel9
pytorch9
java9
scaling9
llm9
python9
large-language-models9
machine-learning9
deep-learning9
hyperparameter-optimization9
ray9
genomics9
Programming languages (5)
Github contributions (5)
011235813/discrete_mean_field_game
Apr 2017 - Feb 2019
Contributions:1 release, 119 commits, 87 pushes in 1 year 10 months
011235813/SEPT
Feb 2020 - Jun 2022
Contributions:2 commits, 1 push, 1 branch in 2 years 4 months
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