I am a final-year PhD candidate at MIT CSAIL advised by Prof. Wojciech Matusik, pushing the boundaries of robotics and scientific discovery. I earned my bachelor’s degree from Nankai University, and have interned at MIT-IBM Watson AI Lab, Autodesk Research, HKU, and MSR Asia. My research focuses on:
🛠 Scalable robotic assembly of general objects: Industrial assembly lines are rigid, task-specific, and require significant human effort. I develop adaptive robotic systems that enable autonomous, flexible, and scalable assembly of complex products. My work spans task and motion planning, policy learning, physics-based simulation, and real hardware implementation.
🔬 Accelerating experimental science via efficient optimization: Scientific discovery is often constrained by costly and lengthy experiments. I develop foundational and classical optimizers that combine probabilistic modeling with principled exploration to discover better physical structures, materials, robot designs, controllers, and beyond, with minimal experiments.
I am on the job market for research scientist/engineer positions tackling ambitious challenges.
Robotics
Planning, Manipulation, RL
Machine Learning
BayesOpt, Foundation Models
Computer Graphics
Physics Simulation, CAD
PhD in Computer Science, 2019 - Present
Massachusetts Institute of Technology
MS in Computer Science, 2019 - 2021
Massachusetts Institute of Technology
BEng in Software Engineering, 2015 - 2019
Nankai University
Conference Reviewer: SIGGRAPH/SIGGRAPH Asia, CoRL, ICRA, IROS, ICLR, ICML, NeurIPS, AISTATS
Journal Reviewer: RA-L, TVCG, TEVC, Soft Computing, TMLR
Workshop Organizer: CoRL 2024 Robotic Assembly Workshop
Invited Talks:
Teaching and Mentoring: