Thomas Yeo received his B.S. and M.S. from Stanford University and Ph.D. from the Massachusetts Institute of Technology in electrical engineering and computer science. He then underwent neuroscience training at Harvard University and Duke-NUS Medical School. Thomas is currently an Associate Professor at the National University of Singapore (NUS) Department of Electrical and Computer Engineering (ECE), Centre for Sleep and Cognition (CSC), Translational Magnetic Resonance Research Centre (TMR), N.1 Institute for Health and Institute for Digital Medicine (WisDM). He is also an affiliated faculty at the NUS Graduate School for Integrative Sciences and Engineering (NGS), Institute for Data Science (IDS), Institute for Applied Learning Sciences and Educational Technology (ALSET) and the Athinoula A. Martinos Center for Biomedical Imaging (Harvard Medical School).
There is a deluge of data across many scientific disciplines. Future scientific breakthroughs will rely on algorithms to explore these massive data. Thomas’ group develops machine learning algorithms to automatically generate scientific discoveries from large-scale datasets comprising thousands of subjects with brain MRI, behavioral, genetic and other physiological measures. By exploring large multi-modal datasets, Thomas seeks 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 (2007), the MICCAI Young Investigator Publication Impact Award (2011), the NUS Young Investigator Award (2015), the NUS Young Researcher Award (2017), the Singapore National Research Foundation (NRF) Fellowship (2017), the Singapore Neuroscience Association Young Neuroscientist Award (2018) and the OHBM Early Career Investigator Award (2019). He is a “highly cited researcher” (Clarivate Analytics).