Machine learning will revolutionise scientific discovery, just as it will
transform many industries.
”
Asst Prof Thomas YEO Boon Thye
PhD (Massachusetts Institute of Technology); MSc, BSc (Stanford University)
Department of Electrical & Computer Engineering
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- Big data
- Brain imaging
- Machine learning
- Neuroscience and mental disorders
- Internationally recognised for devising elegant
algorithms to analyse large-scale magnetic resonance imaging data sets
- Provided fundamental insights into the
heterogeneity of Alzheimer’s disease using hierarchical Bayesian models
- Contributed to deeper understanding of the structure of human cognition by hierarchical
Bayesian modelling of thousands of published neuroimaging studies
- Research is extremely influential in the brain
imaging community, with his atlases of brain
networks — drawn from analysis of 1,000
human subjects — being distributed as part
of the most current brain image analysis
software released by Harvard Medical School
and the US-based National Institutes of
Health’s Human Connectome Project
- Garnered competitive research grants valued at
$10 million from Ministry of Education, National
Medical Research Council, National Research
Foundation and NUS
- Excels in interdisciplinary research that skilfully
integrates computer science with neuroscience
to obtain a more profound comprehension of
how brain systems support cognition
- Dedicated mentor to students, with one
student publishing his final year project on
Alzheimer’s disease in Proceedings of the
National Academy of Sciences; and others
receiving awards and a postdoctoral fellowship
- Published more than 30 research articles and commentaries in leading scientific journals such as
Proceedings of the National Academy of Sciences, Nature, Nature Neuroscience, Cerebral Cortex,
NeuroImage and Journal of Neurophysiology
- Obtained over 4,500 citations for research
- Invited to pen reviews and commentaries for Nature (2016), Nature Neuroscience (2017, 2015, 2013) and Neuron (2017)
- Keynote speaker at University of California, Berkeley’s Brain Imaging Center Research Day
and invited speaker at several international events, including University of Washington St.Louis NIAC Seminar Series; Launching Symposium
of KAIST Institute of Health Science and Technology; Brain Connectivity Workshop; and Whistler Workshop on Brain Functional Organization,
Connectivity and Behavior
- Member, Committee on Best Practices in Data Analysis and Sharing, Organization for Human Brain Mapping
- Editor at top brain imaging journal NeuroImage
- Reviewer for leading journals, including Nature, Nature Neuroscience, Proceedings of the National
Academy of Sciences, NeuroImage, Cerebral Cortex and Journal of Neuroscience
- Singapore National Research Foundation Fellowship (2017)
- Young Researcher Award, NUS Engineering (2017)
- Young Investigator Award, NUS (2015)
- Best Journal Paper Finalist, NeuroImage (2015)
- Young Scientist Publication Impact Award, The
Medical Image Computing and Computer Assisted Intervention Society (2011)
"Devise elegant probabilistic models exploiting
large quantity of data in order to answer
fundamental questions about human brain
network organisation, cognition and mental
disorders."