About me
I am a junior undergraduate studying Computer Science at the University of Michigan and pursuing a dual degree in Electrical and Computer Engineering at Shanghai Jiao Tong University, with an expected graduation in 2027.
My research focuses on embodied AI, robot learning, and vision-language models. I am interested in building scalable methods that give robots high-level semantic understanding while retaining the precision needed for adaptive manipulation in unseen environments.
I am actively searching for PhD opportunities in Robotics starting Fall 2027.
Research interests
- Embodied AI & robot learning
- Multimodal reasoning
- Adaptive robotic manipulation
Education
University of MichiganB.S.E. in Computer ScienceExpected 2027
Shanghai Jiao Tong UniversityB.E. in Electrical and Computer EngineeringExpected 2027
Research experience
Princeton University
Visual reasoning
Research Intern
With Prof. Zhuang Liu and Prof. Danqi Chen
I work on general visual reasoning and vision-language models, with an emphasis on scalable training and reinforcement-learning methods.
Vero: general visual reasoning →University of Michigan
Research Intern
Advised by Prof. Dmitry Berenson
I study embodied AI and robot learning, including ways to equip vision-language-action policies with structured spatial guidance for adaptive manipulation.
Topology-informed visual prompting →Shanghai Jiao Tong University
Research Intern
Mentored by Prof. Yutong Ban
I worked on surgical robotics and long-horizon surgical phase recognition from full-length videos.
Hierarchical state space models for surgical videos →