Associate Professor of Biostatistics
Director, Data Science Core, Vanderbilt Kennedy Center
Associate Director for Graduate Studies, Data Science Institute
2525 West End Avenue, Suite 1100, Room 11117
Nashville, Tennessee 37203
(615) 343-1906
h.kang[at]vumc.org
PhD, Biostatistics, Brown University
Research interests include analyzing MRI data by employing spatio-temporal models, developing methods to properly take into account multiple comparisons in high-dimensional data analysis, and developing Bayesian hierarchical models for multi-modal MRI data analysis. Current projects include developing a GPU (Graphics Processing Unit)-enhanced Gaussian Process that can dramatically speed up computing time (completing processes up to 240 times faster than older methods) for autism research.
Hakmook Kang at the 2025 US-Taiwan Next Generational Statistics symposium, discussing structural and functional connectivity measures and the GPU-enhanced Gaussian Process developed by his team. Kang’s collaborators include Vanderbilt data science students Margo Kim and Yuting Mei, staff biostatistician Ke Xu, and adjoint associate professor Chris Fonnesbeck.
Photo: Donn Jones / Vanderbilt University Medical Center