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 (40)
reinforcement-learning9
multi-agent-reinforcement-learning9
parallel9
pytorch9
python9
large-language-models9
multistage9
optimization9
cua9
genomics8
swift8
ray8
deep-learning8
hyperparameter-optimization8
ai8
Programming languages (5)
Github contributions (5)
011235813/discrete_mean_field_game
Apr 2017 - Feb 2019
Experiments on a discrete mean field game model of population dynamics with reinforcement learning
Contributions:1 release, 119 commits, 87 pushes in 1 year 10 months
reinforcement-learning
011235813/cm3
Jan 2020 - Jun 2022
Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
Contributions:4 commits, 3 pushes, 1 branch in 2 years 5 months
multi-agent-reinforcement-learningmultistage
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.