Casual Biography
I'm a computer scientist working on developing machine learning algorithms to accelerate the scientific discovery. 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 and optimization, with emphasis on Bayesian optimization, bandit algorithms, quantum machine learning, experimental design, drug discovery, and PDE surrogates. His work has been published in leading machine learning venues such as ICML, ICLR, AISTATS, UAI, JMLR, and JAIR, with two oral presentations at AAAI. He is an area chair of ICML'25, ICLR'26, and AISTATS'25'26. He organized the workshop series on AI for Drug Discovery and Development (
AI4D3) starting 2023. 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.
Formal 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 and optimization, with emphasis on Bayesian optimization, bandit algorithms, quantum machine learning, experimental design, drug discovery, and PDE surrogates. His work has been published in leading machine learning venues such as ICML, ICLR, AISTATS, UAI, JMLR, and JAIR, with two oral presentations at AAAI. He is an area chair of ICML'25, ICLR'26, and AISTATS'25'26, associate editor of IEEE-TNNLS, and editorial board reviewer of JMLR. He organized the workshop series on AI for Drug Discovery and Development (
AI4D3) starting 2023. 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.