Casual Biography
I'm a machine learning researcher interested in sequential decison-making optimization and applying it in real-world drug discovery problems. I'm also a private pilot and a nature traveler.
Talk Biography
Dr. Chong Liu is an Assistant Professor of Computer Science at the State University of New York at Albany. His research interests lie broadly in machine learning, Bayesian optimization, bandit algorithms, and drug discovery. His work has been published in leading machine learning venues such as ICML, ICLR, AISTATS, UAI, and JMLR, with two oral presentations at AAAI. He is an area chair of ICML-2025 and AISTATS-2025, associate editor of IEEE-TNNLS, and editorial board reviewer of JMLR. He organized the workshop series on AI for Drug Discovery and Development (
AI4D3) in 2023 and 2025. He received Ph.D. in
Computer Science from
UC Santa Barbara in 2023 and spent one year as a
Data Science Institute Postdoctoral Scholar at the
University of Chicago.
Official Biography
Dr. Chong Liu is an Assistant Professor of Computer Science at the State University of New York at Albany. His research interests lie broadly in machine learning, optimization, and AI for science, with emphasis on Bayesian optimization, bandit algorithms, active learning, and drug discovery. His work has been published in leading machine learning venues such as ICML, ICLR, AISTATS, UAI, and JMLR, with two oral presentations at AAAI. He is an area chair of ICML-2025 and AISTATS-2025, associate editor of IEEE-TNNLS, and editorial board reviewer of JMLR. He organized the workshop series on AI for Drug Discovery and Development (
AI4D3) in 2023 and 2025. He received Ph.D. in
Computer Science from
UC Santa Barbara advised by Prof.
Yu-Xiang Wang in 2023 and was a
Data Science Institute Postdoctoral Scholar at the
University of Chicago from 2023 to 2024 mentored by Prof.
Yuxin Chen and Prof.
Rebecca Willett.