Title

Large-Scale Networks in the Human Cerebral Cortex

Bio

Thomas Yeo is an Associate Professor at the National University of Singapore. He 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’s 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. He was a recipient of the MICCAI Young Scientist Award (2007), the MICCAI Young Investigator Publication Impact Award (2011), the Singapore National Research Foundation Fellowship (2017), the Singapore Neuroscience Association Young Neuroscientist Award (2018) and the OHBM Early Career Investigator Award (2019).

Abstract

The human brain is a complex system exhibiting multi-scale spatiotemporal organization. In this talk, I will first discuss the topography of large-scale brain networks at both the population-level and in individuals. I will then discuss the prediction of behavioral traits from large-scale network features. Finally, I will discuss the use of biophysical models combined with modern optimization techniques to bridge the gap between macro-scale brain MRI with micro-scale brain organization.