Published a paper with Miao, R. et al. on reinforcement learning for individual optimal policy from heterogeneous data.
Published a study with Yuan, Y. et al. on optimal transport for latent integration with an application to heterogeneous neuronal activity data.
Published work with Zhou, W. et al. on a Model-Agnostic Graph Neural Network (MaGNET) for integrating local and global information.
Published research with Duan, J. et al. on tauFisher accurately predicting circadian time from a single sample of bulk and single-cell pseudobulk transcriptomic data.
Published a study with Li, L. et al. on hippocampal ensembles representing sequential relationships among discrete nonspatial events.
Research Experience
Served as a principal investigator or collaborator on multiple research projects involving reinforcement learning, optimal transport, graph neural networks, etc.
Education
No specific educational background information provided.
Background
Professor of Statistics with research interests in Statistical Machine Learning, Nonparametric Bayesian Methods, and Statistical Methods in Biomedical Sciences.
Miscellany
Involved in the COSMOS data science summer program for high school students; teaches courses such as Statistical Machine Learning and Bayesian Data Analysis; contact: (949) 824-0623, email: babaks@uci.edu, address: 2222 ISEB, UC Irvine, CA 92697.