Chong Liu is an Assistant Professor of Computer Science at University at Albany, State University of New York. He received Ph.D. in Computer Science from UC Santa Barbara advised by Prof.
Yu-Xiang Wang in 2023 and spent one year as a
Data Science Institute Postdoctoral Scholar at the
University of Chicago mentored by Prof.
Yuxin Chen and Prof.
Rebecca Willett. His research interests lie broadly in machine learning, optimization, and AI for science, with emphasis on Bayesian optimization, bandits, active learning, experimental design, drug discovery, and materials science. He is an area chair of ICML and AISTATS, associate editor of IEEE-TNNLS, and editorial board reviewer of JMLR. He organized the NeurIPS 2023 Workshop on New Frontiers of AI for Drug Discovery and Development (
AI4D3-2023).