John Darrell Van Horn

John Darrell Van Horn is a Professor at the University of Virginia, holding dual appointments in the School of Data Science and the Department of Psychology. He joined UVA in 2019 and is actively engaged in research and teaching, including mentoring capstone projects in the M.S. in Data Science program and teaching brain mapping with MRI.

Education:

• Ph.D. in Psychology, University of London
• M.S. in Electrical and Computer Engineering, University of Maryland, College Park
• B.A. in Psychology, Eastern Washington University

Dr. Van Horn's research centers on human neuroimaging and the application of data science to understand brain health and disease. His work integrates high-performance computation, multivariate statistics, network theory, and image processing to extract meaningful patterns and biomarkers from brain imaging data. He is a strong advocate for FAIR data principles and open science, promoting transparency and reproducibility in neuroscience research.

His publications span top journals including Science, Nature, Nature Neuroscience, NeuroImage, and Biological Psychiatry, reflecting a sustained impact in the fields of neuroscience and data science. The body of work demonstrates a consistent focus on computational modeling of brain structure and function, with applications in psychiatry and cognitive neuroscience.

Scientific Recognition:

• Fellow, Organization for Human Brain Mapping (OHBM)

Dr. Van Horn has served as a mentor for capstone research projects in the M.S. in Data Science program. While specific grant funding is not detailed, his research has been widely disseminated and featured in both academic and popular media, indicating successful funding and recognition. His prior academic roles at UCLA, USC, Dartmouth, and NIH fellowships underscore a distinguished career trajectory.

He is affiliated with the broader neuroscience and data science communities through publications, open science advocacy, and professional recognition. His lab or research group is not explicitly named, but his work clearly involves advanced computational analysis of neuroimaging datasets, likely involving collaborative teams focused on brain mapping and data sharing initiatives.