Published several papers, such as 'BMF: Synergy of robotics and microfluidics for intelligent micro- and nanomanipulation' (2025), 'aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists' (2025 preprint), 'Scaling Laws in Scientific Discovery with AI and Robot Scientists' (2025 preprint), etc. Also won several competition awards, including Second prize in Lane Line Recognition-China HUALU Cup Data Lake Algorithm Competition (2020), First place in Lip Language Recognition, XIAOMI & XINWANG Bank Chuangqingchun · Jiaozi Cup Competition (2019), First place in Baidu Star Artificial Intelligence Developer Competition (2019).
Research Experience
Involved in multiple research projects, including synergy of robotics and microfluidics for intelligent micro- and nanomanipulation, next-generation open access ecosystem for scientific discovery generated by AI scientists, scaling laws in scientific discovery with AI and robot scientists, high-resolution imaging and morphological phenotyping of C. elegans through stable robotic sample rotation and artificial intelligence-based 3-dimensional reconstruction, etc.
Education
Ph.D. Candidate in the Department of Mechanical and Industrial Engineering at the University of Toronto, Advisor: Prof. Xinyu Liu.
Background
Currently a Ph.D. Candidate in the Department of Mechanical and Industrial Engineering at the University of Toronto. Fortunate to work with Prof. Xinyu Liu. Research lies at the intersection of robotics and artificial intelligence, with a special focus on automated scientific discovery. Research interests include Robot Scientists, AI Scientists, Computer vision, 3D reconstruction, Generative models, Reinforcement learning, LLM agents, and AI4S.
Miscellany
Gave a talk on micro-/nano robotics at TEDx: Think Beyond Now, Wuxi China, July 2020. Maintains a GitHub repository named Awesome AI Scientist Papers, which collects important papers in the field of AI Scientist and Robot Scientist.