- Scalable Assembly of General Objects (PhD Thesis, 2025)
- Fabrica: Dual-Arm Assembly of General Multi-Part Objects via Integrated Planning and Learning (CoRL 2025, Best Paper Award)
- A multimodal robotic platform for multi-element electrocatalyst discovery (Nature 2025, NeurIPS 2023 RealML Workshop, Best Student Paper Award)
- ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility (ICRA 2024, MIT MIMO Symposium 2023, Zetta Prize, Best Application of AI in Industry)
- Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints (ICML 2024)
- AutODEx: Automated Optimal Design of Experiments Platform with Data- and Time-Efficient Multi-Objective Optimization (NeurIPS 2023 RealML Workshop)
- Assemble Them All: Physics-Based Planning for Generalizable Assembly by Disassembly (ACM TOG / SIGGRAPH Asia 2022, Journal Track)
Research Experience
- Applied Scientist, Amazon FAR (Frontier AI & Robotics), working towards building human-level robotic foundation models
- PhD research focus: Scalable robotic assembly of general objects, involving task and motion planning, reinforcement learning, physics-based simulation, geometry processing, and precise manipulation
Education
- Ph.D. in Computer Science, 2019 - 2025, Massachusetts Institute of Technology
- M.S. in Computer Science, 2019 - 2021, Massachusetts Institute of Technology
- B.Eng. in Software Engineering, 2015 - 2019, Nankai University
Summary: Currently an Applied Scientist at Amazon FAR (Frontier AI & Robotics). Previously earned a PhD from MIT EECS and a bachelor’s degree from Nankai University, and has interned at MIT-IBM Watson AI Lab, Autodesk Research, HKU, and MSR Asia.
Miscellany
Personal Interests: Picky foodie, particularly fond of his wife's cooking