Dr. Li is a statistician / biostatistician primarily working on statistical methodology for high-dimensional data analysis, and applications in neuroimaging, computational biology and biomedical research.
Dr. Li received B.E. in Electrical Engineering from Zhejiang University, China, in 1998, and 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. His current research interests include statistical methodology for high-dimensional complex data analysis and statistical neuroimaging analysis.
- PhD – Statistics, University of Minnesota, Twin Cities, 2003
- MS – Statistics, University of Minnesota, Twin Cities, 2002
- Neuroimaging data analysis: brain connectivity and network analysis, imaging causal inference, imaging genetics, longitudinal imaging analysis, multimodal imaging analysis and tensor analysis
- Statistical genetics, computational biology
- Dimension reduction, variable selection and high-dimensional regressions
- Statistical machine learning, data mining and computational statistics