Casual Biography
I'm a computer scientist working on developing machine learning and optimization algorithms for scientific discovery like drug discovery, quantum machine learning, and math reasoning. 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 spans machine learning and AI for science, with particular interests in Bayesian optimization, AI for drug discovery and development, quantum machine learning, and mathematical reasoning. His work has appeared in leading machine learning venues, including ICML, ICLR, AISTATS, UAI, and JMLR, with oral presentations at AAAI and AAMAS. He serves as an Area Chair for ICML, NeurIPS, ICLR, AISTATS, and UAI, and as an Action Editor for TMLR and IEEE-TNNLS. Since 2023, he has also organized the AI for Drug Discovery and Development (AI4D3) workshop series. Dr. Liu received his 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 spans machine learning and AI for science, with particular interests in Bayesian optimization, AI for drug discovery and development, quantum machine learning, and mathematical reasoning. His work has appeared in leading machine learning venues, including ICML, ICLR, AISTATS, UAI, and JMLR, with oral presentations at AAAI and AAMAS. He serves as an Area Chair for ICML, NeurIPS, ICLR, AISTATS, and UAI, and as an Action Editor for Transactions on Machine Learning Research and an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems. Since 2023, he has also organized the AI for Drug Discovery and Development (AI4D3) workshop series. Dr. Liu received his Ph.D. in
Computer Science from
University of California, Santa Barbara advised by Prof.
Yu-Xiang Wang in 2023 and subsequently spent one year as a
Data Science Institute Postdoctoral Scholar at the
University of Chicago mentored by Prof.
Yuxin Chen and Prof.
Rebecca Willett.