Research Expertise and Interest

neuroimaging data analysis, deep brain stimulation, brain-computer-interface, statistical machine learning, Deep Learning, reinforcement learning, networks data analysis, functional data analysis, tensor analysis, ordinary differential equations, dimension reduction, high dimensional inference

Research Description

Lexin Li is a professor in Berkeley Public Health. His current research interests include statistical methodology for high-dimensional complex data analysis and statistical neuroimaging analysis.

Lexin Li received a B.E. in Electrical Engineering from Zhejiang University, China, in 1998, and a Ph.D. in Statistics from the University of Minnesota in 2003. He then worked as a Postdoctoral Researcher at School of Medicine, University of California, Davis. He joined the Department of Statistics, North Carolina State University, in 2005, as an Assistant Professor, and was promoted to Associate Professor with tenure in 2011. He was a visiting faculty at Department of Statistics, Stanford University and Yahoo Research Labs from 2011 to 2013. He joined the Department of Biostatistics and Epidemiology, University of California, Berkeley, as an Associate Professor with tenure in 2014, and was promoted to Full Professor in 2018.

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