John Darrell Van Horn holds dual appointments as Professor with the School of Data Science and Department of Psychology. His extensive research interests include human neuroimaging, patterns, and biomarkers in brain health and disease; the brain as a data science; high-performance computation; multivariate statistical modeling; time series and spectral analysis; network and graph theory; image processing; programming in C, Matlab, Bash/csh; and methods of FAIR data sharing and open science.
His research has appeared in such publications as Science, Nature, Nature Neuroscience, the American Journal of Psychiatry, Biological Psychiatry, British Journal of Psychiatry, Frontiers In Neuroinformatics, Journal of the American Medical Informatics Association, Journal of Cognitive Neuroscience, Journal on Nuclear Medicine, Journal of Psychopharmacology, Magnetic Resonance in Medicine, and Neuroimage, among others. His work has been featured prominently in the media and popular press.
Prior to joining UVA in 2019, Van Horn served as associate professor of clinical neurology at the University of Southern California and associate professor at the University of California, Los Angeles. Additional appointments include associate professor at Dartmouth College and staff and doctoral fellowships at the National Institutes of Health. He currently teaches brain mapping with MRI and has served as a capstone research project mentor in the M.S. in Data Science program.
He holds a Ph.D. in Psychology from the University of London, an M.Eng. in Electrical and Computer Engineering from the University of Maryland, College Park, and a B.A. in Psychology from Eastern Washington University. He was also a fellow of the Organization for Human Brain Mapping (OHBM).
PH.D., Psychology, University of London
M.S., Electrical and Computer Engineering, University of Maryland College Park
B.A., Psychology, Eastern Washington University
Fellow, Organization for Human Brain Mapping (OHBM)
Data Science Domains
Analytics, Design, Systems, Value
Areas of Practice
Human Neuroimaging, Neuroscience, High-Performance Computing, Workflows, Data Processing, Statistics