Lexin Li
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Professor and Division Chair Department of Biostatistics and Epidemiology & Helen Wills Neuroscience Institute (HWNI) & UC Berkeley - UCSF Joint Program on Computational Precision Health (CPH) University of California at Berkeley ContactBerkeley Way West, Room 5330 |
Bio
Lexin Li, Ph.D., is Professor of Biostatistics, and Division Chair, at Department of Biostatistics and Epidemiology, and also Department of Statistics and Helen Wills Neuroscience Institute, at the University of California, Berkeley. His research interests include neuroimaging analysis, brain-computer-interface, deep and reinforcement learning, functional and point process data analysis, tensor data analysis, and brain network analysis. He is a Fellow of the American Association for the Advancement of Science (AAAS), the Institute of Mathematical Statistics (IMS), the American Statistical Association (ASA), the Asia-Pacific Artificial Intelligence Association (AAIA), and an Elected Member of the International Statistical Institute (ISI). He is the Editor-in-Chief of the Annals of Applied Statistics for 2025-27.
Education
2003. Ph.D. in Statistics, University of Minnesota at Twin Cities
2002. M.S. in Statistics, University of Minnesota at Twin Cities
1998. B.E. in Electrical Engineering, Zhejiang University, China
Research Interests
Neuroimaging data analysis: brain connectivity and network analysis, imaging causal inference, imaging genetics, longitudinal imaging analysis, multimodal imaging analysis, tensor imaging analysis
Brain-computer-interface, deep brain stimulation, neuromodulation
Statistical machine learning, deep learning, reinforcement learning
Differential equations, point process modeling, functional data analysis
Alzheimer's disease, Parkinson disease, diabetes, kidney exchange
Dimension reduction, variable selection, high dimensional inference
Honors
Fellow, American Association for the Advancement of Science (AAAS)
Fellow, Institute of Mathematical Statistics (IMS)
Fellow, American Statistical Association (ASA)
Fellow, Asia-Pacific Artificial Intelligence Association (AAIA)
Elected Member, International Statistical Institute (ISI)
Services
Editor-in-Chief, Annals of Applied Statistics, 2025-2027
Division Chair, Department of Biostatistics and Epidemiology, 2025-
Co-Director, Biostatistics Program, 2019-2025
Standing Member, NIH Imaging Technology for Neuroscience (ITN) Study Section, 2023-2027
Associate Editor, Journal of the American Statistical Association, 2014-
Associate Editor, Journal of the Royal Statistical Society, Series B., 2024-
Associate Editor, Journal of Computational and Graphical Statistics, 2023-
Associate Editor, Annals of Applied Statistics, 2022-2024
Associate Editor, Statistics in Biosciences, 2021-2024
Associate Editor, Journal of Statistical Theory and Practice, 2019-2023
Associate Editor, Technometrics, 2013-2018
Program Chair, SLDS 2020
IMS Program Chair, WNAR, 2020
Program Chair, ASA, Section on Statistics in Imaging, 2017
Past Positions
2014-2018. Associate Professor, Department of Biostatistics and Epidemiology, University of California, Berkeley
2011-2014. Associate Professor, Department of Statistics, North Carolina State University
2012-2013. Visiting Associate Professor, Department of Statistics, Stanford University
2011-2012. Visiting Associate Professor, Yahoo! Research Labs
2005-2011. Assistant Professor, Department of Statistics, North Carolina State University
2003-2005. Postdoctoral Scholar, School of Medicine, University of California at Davis