Jonathan Yang
Summary
👤
SeniorJonathan Yang is a Stanford-based artificial intelligence researcher with a decade of experience at the intersection of robotics, reinforcement learning, and control. He currently conducts research at Stanford's SAIL and is a student researcher at Google DeepMind, investigating how robotic agents can learn from large, diverse datasets and transfer knowledge across environments through proprioceptive contrastive self-pretraining. Working with Chelsea Finn and Dorsa Sadigh, he aims to give robots robust, scalable 'brains' for real-world understanding and operation. His work emphasizes end-to-end, data-efficient learning and multi-robot transfer, bridging academic theory with practical robotics deployment. Alongside research, he has a strong teaching background as a TA for CS 224R and CS 188, and he earned a BS in EECS from UC Berkeley before pursuing a PhD at Stanford. Based in the San Francisco Bay Area, he combines rigorous academic training with hands-on exploration of AI systems to push toward everyday intelligence for machines.
10 years of coding experience
Github Skills (29)
hierarchical10
bullet9
kinematics9
reinforcement-learning9
simulator9
robotics9
simulation9
collision9
sdk9
robot9
pybullet9
robot-framework9
physics-engine8
bullet-physics8
language-modeling8
Programming languages (3)
Github contributions (5)
JonathanYang0127/WidowX200_RL
Mar 2020 - Oct 2023
Contributions:4 pushes, 1 branch in 3 years 7 months
JonathanYang0127/RiskGame
May 2016 - Oct 2018
Contributions:2 pushes, 1 branch in 2 years 5 months
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.