Will serve as an Area Chair for ICLR 2026; one paper (as corresponding author) is accepted in VLDB 2025; three papers (as first author) are accepted in ICML 2025.
Research Experience
Will be joining the University of Science and Technology of China (USTC) as an associate professor by the end of 2025. Currently seeking research assistants with a strong background in mathematics and programming to collaborate on projects at the intersection of machine learning theory, algorithms, and systems.
Education
Completed undergraduate studies at the University of British Columbia, majoring in Computer Engineering and Pure Mathematics; pursued a Master’s degree at the University of Toronto, researching computational social networks under the supervision of Prof. Peter Marbach; earned a PhD from the University of Hong Kong, working with Prof. Chuan Wu and Prof. Difan Zou on large-scale machine learning algorithms and systems.
Background
A computer science researcher specializing in machine learning, with a strong emphasis on methodology and problem-solving processes rather than focusing on any one specific problem. Research spans theory, algorithms, and systems for machine learning, and occasionally explores topics in computational sociology and economics.