Yunfan Jiang
Palo Alto, California, United States
Summary
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Rockstar🎓
Top SchoolYunfan Jiang is an AI and robotics PhD student at Stanford with six years of research experience building embodied agents and robot learning systems informed by foundation models. He has applied his interdisciplinary background in electrical engineering and computer science to projects at NVIDIA, where he developed agents for open-ended video games and robotics, and as an undergraduate researcher at Edinburgh’s Agile Tomography Group. Based in Palo Alto, he blends rigorous academic training with hands-on systems work, spanning perception, control, and large-model integration. Notably, his work targets practical generalization across simulated and real-world settings—bridging lab prototypes toward scalable embodied intelligence.
6 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering with First-Class Honors - BEng with Hons, Electronics and Electrical Engineering, Bachelor of Engineering with First-Class Honors - BEng with Hons, Electronics and Electrical Engineering at The University of EdinburghDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
Github Skills (58)
unreal-engine-49
simulator9
security9
internet9
ros9
deep-reinforcement-learning9
computer-vision8
carla8
autonomous-driving8
python8
deep-learning8
scale8
self-driving-car8
gpu8
machine-learning8
Programming languages (7)
Github contributions (5)
MineDojo/MineDojo
Jun 2022 - Nov 2022
Building Open-Ended Embodied Agents with Internet-Scale Knowledge
Contributions:1 release, 3 reviews, 9 commits in 5 months
knowledgesecurityopen-endedagentsscale
vimalabs/VIMABench
Oct 2022 - Nov 2022
Official Task Suite Implementation of ICML'23 Paper "VIMA: General Robot Manipulation with Multimodal Prompts"
Contributions:5 commits, 2 PRs, 7 pushes in 1 month
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