Associate Professor, Electrical and Computer Engineering, Design and Engineering
Associate Professor, Integrative Sciences and Engineering
Associate Professor, Electrical and Computer Engineering, College of Design and Engineering
Adjunct Faculty, Harvard Medical School
Doctor of Philosophy of Engineering, Massachusetts Institute of Technology, United States
Bachelor of Science in Electrical Science & Engineering, Stanford University, United States
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 population-level datasets with brain MRI, behavioral, genetic and other physiological measures. Insights from these population-level studies are in turn used to develop N-of-1 mental disorder treatment in individuals. Thomas 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). He is a Fellow of OHBM (2024) and sits on the scientific advisory board of the OHBM. He is a “highly cited researcher” (Clarivate Analytics) since 2019, an honor awarded to 0.1% of scientists worldwide.
There is a deluge of data across scientific disciplines. Future scientific breakthroughs will rely on algorithms to explore these massive data. Our group develops machine learning algorithms to automatically generate scientific discoveries from population-level datasets with brain MRI, behavioral, genetic and other physiological measures. We are particularly interested in mapping brain networks in individuals and using brain network features to predict individual-level behavioral traits, mental disorder symptoms and disease progression. Insights from population-level studies are in turn used to develop N-of-1 mental disorder treatment in individuals.
Fellow of the OHBM, 2024
Top 0.1% Highly Cited Researcher (Clarivate Analytics), 2019 – Now
Top 2% Cited Researcher (Stanford/Elsevier), 2022 – Now
Expertscape top 0.1% “brain” experts in the world, 2021
OHBM Early Career Investigator Award, 2019
Singapore Neuroscience Association Young Neuroscientist Award, 2018
National Research Foundation Fellowship, 2017
NUS Young Researcher Award, 2017
NeuroImage Best Paper Finalist, 2015
NUS Young Investigator Award, 2015
MICCAI Young Investigator Publication Impact Award, 2011
MICCAI Young Scientist Finalist, 2008
MICCAI Young Scientist Award, 2007
A*STAR National Science Scholarship, 2004-2009
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