Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
Published several papers such as 'Multi-Modal Manipulation via Multi-Modal Policy Consensus' and 'Tool-as-Interface: Learning Robot Policies from Observing Human Tool Use.' Won Best Paper Award at ICRA 2025 Workshop on Foundation Models and Neuro-Symbolic AI for Robotics and Best Presentation Award at CSL Student Conference 2025.
Research Experience
Gave talks at multiple labs, including Computational Robotics Lab at Harvard, Professor Jiajun Wu's Lab at Stanford, Professor Animashree Anandkumar's Lab at Caltech, and more.
Education
Postdoc at Harvard, advised by Yilun Du; Ph.D. in Electrical and Computer Engineering at the University of Illinois Urbana-Champaign, advised by Katie Driggs-Campbell and worked closely with Yunzhu Li.
Background
Research Interests: Composable multimodal robot learning, focusing on robotic manipulation. Develops structured models that help robots reason about the physical world and learn from heterogeneous data sources, including simulation, teleoperation, human video, and off-policy data.
Miscellany
Actively seeking collaborations in composable robot learning, multi-modal manipulation, and learning from heterogeneous data sources. Dedicating 30 minutes each week to chat with junior PhD/master/undergraduate students about life, career plans, or research ideas in ML/robotics.