University Awards
Recognising Excellence
  • 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."