Thomas Yeo is an Assistant Professor at the National University of Singapore (NUS). Thomas received his B.S. and M.S. from Stanford University and Ph.D. from the Massachusetts Institute of Technology. Prior to NUS, Thomas was a research fellow at Harvard University and Duke-NUS Medical School. Thomas’ lab develops machine learning algorithms to generate scientific discoveries from large-scale datasets comprising thousands of subjects with brain magnetic resonance imaging (MRI), behavioral, genetic and other physiological measures. By exploring large multi-modal datasets, we seek to discover fundamental principles of brain network organization, how brain networks are organized to support cognition and how brain networks are disrupted in mental disorders.
Thomas is an editor at NeuroImage and eLife. He is a recipient of the MICCAI Young Scientist Award, the MICCAI Young Investigator Publication Impact Award and the OHBM Early Career Investigator Award.
PhD, Electrical Engineering and Computer Science, MIT, 2010
Yeo, B T Thomas et al. “The organization of the human cerebral cortex estimated by intrinsic functional connectivity.” Journal of neurophysiology vol. 106,3 (2011): 1125-65. doi:10.1152/jn.00338.2011
Schaefer, Alexander et al. “Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI.” Cerebral cortex (New York, N.Y. : 1991) vol. 28,9 (2018): 3095-3114. doi:10.1093/cercor/bhx179
Kong, Ru et al. “Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion.” Cerebral cortex (New York, N.Y. : 1991) vol. 29,6 (2019): 2533-2551. doi:10.1093/cercor/bhy123