Research Interests:
Personalized Medicine
Reinforcement Learning
Random Forests and Trees
Survival Analysis
Sufficient Dimension Reduction
High-Dimensional Data
Biomedical Applications: Sepsis, Food and Nutrition, Infectious Diseases, Cancer Genetics/Genomics
Editorial Services:
AE, ACM Transactions on Probabilistic Machine Learning (2025 - )
AE, Journal of Computational and Graphical Statistics (2024 - )
AE, Journal of the American Statistical Association (2023 - )
AE, Statistical Analysis and Data Mining (2022 - )Â
Editorial board reviewer, Journal of Machine Learning Research (2020-)
Current Members:
Yuhan Li (2021-)
Eugene Han (2022-)
Mehrdad Mohammadi (2022-)
Zhiyu Wang (2023-)
Zexuan Zhang (2024-)
Previous Members:
(PhD 2024) Tianning Xu @Amazon
(PhD 2022) Wenzhuo Zhou @UCI
(PhD 2022) Sarah E. Formentini @Bayer
(PhD 2022) Joshua D. Loyal @FSU
(PhD 2021) Yutong (Jack) Li @Novartis
(PhD 2019) William Biscarri @J.P. Morgan
(MS 2018) Yue Mu, PhD @FSU
(MS 2018) Jiyang Zhang
(MS 2017) Peng Xu, Ph.D @UIUC
(MS 2017) Ruizhong Miao, Ph.D @UVA
(MS 2017) Boyi Guo, Ph.D @UAB
(BS 2018) Ruilin Zhao @ American Express
(BS 2018) Hao Wang, MS @ Berkeley
My research is supported by
May 17, 2025. Photo by Hengrui Cai
May 12, 2022. Photo by Xian Cao
Apr 21, 2019. Photo by Xian Cao