My research lies mainly in the multidisciplinary field of human brain mapping. I have developed new statistical models and computational algorithms for analyzing brain data in different modalities. My research areas in statistics include Bayesian inference, network analysis, and high-dimensional data. Also, I always enjoy collaborating with psychologists, neurologists, and neuroscientists and applying my methods to advance scientific understanding of the human brain and to improve the treatment of neurological disorders.
Appointments
2022-present: Professor, Department of Statistics, University of Pittsburgh
2020-2022: Associate Professor, Department of Statistics, University of Pittsburgh
2015-2020: Associate Professor, Department of Statistics, University of Virginia
2009-2015: Assistant Professor, Department of Statistics, University of Virginia
2008-2009: Postdoctoral Fellow, Department of Statistics, Harvard University
Education & Training
- 2008 Ph.D. Statistics Harvard University
- 2005 M.S. Statistics Harvard University
- 2003 B.S. Mathematics Peking University
Research Interests
Neuroimaging Data Analysis
Human Brain Mapping
Bayesian Statistics