Wesley K. Thompson, Ph.D.
Assistant Professor In-Residence
Email Address: firstname.lastname@example.org
Dr. Thompson earned his Ph.D. in Statistics from Rutgers University in 2003, and his dissertation studies focused on the development of a Baynesian model for sparse functional data. He was appointed Assistant Professor of Statistics and Psychiatry at the University of Pittsburgh in 2005, and he collaborated with several senior investigators on clinical research studies on depression, sleep and sleep disorders, and physical illness across the lifespan. Dr. Thompson joined the UCSD Department in 2008 and he serves as the Director of Biostatistics at the Stein Institute for Research on Aging.
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]