Wesley K. Thompson, Ph.D.
Associate Professor In-Residence
Dr. Thompson earned his Ph.D. in Statistics from Rutgers University in 2003, with a focus on statistical methods for longitudinal data analysis. He was appointed Assistant Professor of Statistics and Psychiatry at the University of Pittsburgh in 2005, where he received a five year NIH K25 Career Development Award to develop novel methods for studying co-variation in brain function and depression. Dr. Thompson joined the UCSD Department of Psychiatry in 2008. His current work involves Bayesian semi-parametric and mixture models with applications to (i) improving effect size estimation, replication, and prediction in genome-wide association studies, (ii) predicting onset of illness from multivariate biomarker trajectories, (iii) applications of functional data analysis to functional MRI data.
Dr. Thompson’s research interests center on the adaptation and application of statistical models of a dynamic covariation of multiple functional processes in order to identify potentially causal relationships between brain function, depression, and physical health. This work is supported by a NIH Career Development Award that Dr. Thompson received in 2006. He is also interested in developing statistical models that may explain the underlying mechanisms of healthy cognitive aging.
- Thompson WK, Xie M, White HR. Transformations of covariates for longitudinal data. Biostatistics 4(3):353-64, 2003.
- Thompson WK, Kupfer DJ, Fagiolini A, Scott JA, Frank E. Prevalence and clinical correlates of medical comorbidities in patients with bipolar I disorder. Analysis of acute- phase data from a randomized controlled trial. J Clin Psychiatry 67(5):783-8, 2006.
- Thompson WK, Rosen O. A Bayesian model for sparse functional data. Biometrics 64(1):54-63, 2008. Epub 2007 Jun 15.
- Monk TH, Begley AE, Billy BD, Fletcher ME, Germain A, Mazumdar S, Moul DE, Shear MK, Thompson WK, Zarotney JR. Sleep and circadian rhythms in spousally bereaved seniors. Chronobiol Int. 25(1):83-98, 2008.
- Thompson WK, Siegle G. A Stimulus-Locked Vector Autoregressive Model for Slow Event . Related fMRI Designs. Neuroimage. 2009 Feb 20. [Epub ahead of print]