Resume
Academic Achievements
- Publications: 'ARNOLD: A Benchmark for Language-Grounded Task Learning with Continuous States in Realistic Scenes' (ICCV, 2023); 'VRKitchen: an Interactive 3D Environment for Learning Real Life Cooking Tasks' (ICML workshop on Reinforcement Learning for Real Life, 2019); 'Data-Efficient Multitask DAgger' (arXiv preprint, 2025). Projects: RoboVerse accepted by Robotics: Science and Systems (RSS) 2025; UrbanSim accepted as a Highlight paper by IEEE/CVF CVPR 2025.
Research Experience
- Research Scientist at The Robotics and AI Institute, focusing on advancing the frontiers of artificial intelligence and robotics. During his doctoral studies, he collaborated extensively with Professor Gaurav Sukhatme (USC & Amazon Alexa AI), Dr. Siyuan Huang, and Dr. Tianmin Shu.
Education
- Ph.D., University of California, Los Angeles, supervised by Professor Demetri Terzopoulos and Professor Song-chun Zhu; B.S., University of California, Los Angeles, in Computer Science and Engineering.
Background
- Research Interests: Developing intelligent systems that can effectively learn and adapt in complex real-world environments. Key areas of interest include: Foundation Models for Robotics, Large-Scale Simulation, Sim2Real Transfer, and Real2Sim Learning.