Resume
Academic Achievements
- 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.