Stanford University
Postdoctoral Scholars
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Bernard Ng

Academic Appointments

  • Postdoctoral Research fellow, Neurology and Neurological Sciences

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Contact Information

  • Academic Offices
    Personal Information


I currently hold a joint postdoctoral position at the Functional Imaging in Neuropsychiatric Disorders (FIND) lab of Stanford University and the Parietal team of INRIA under the mentorship of Dr. Michael Greicius and Dr. Bertrand Thirion. I was previously a member of the Biomedical Signal and Image Computing Lab (BiSICL) and earned my Ph.D degree in electrical engineering at the University of British Columbia (UBC) under the guidance of Dr. Rafeef Abugharbieh. I obtained my M.A.Sc degree in electrical engineering at UBC under the joint supervision of Dr. Rafeef Abugharbieh and Dr. Martin McKeown and received my B.A.Sc. degree in electronics engineering at Simon Fraser University (SFU) working under Dr. Theodore Milner and Dr. David Franklin.

Professional Education

Doctor of Philosophy: The University of British Columbia, Electrical and Computer Engineering (2011)
Master of Applied Science: The University of British Columbia, Electrical and Computer Engineering (2007)
Bachelor of Applied Science: Simon Fraser University, Electronics Engineering (2005)

Stanford Advisors

Michael Greicius: Postdoctoral Faculty Sponsor

Research & Scholarship

Current Research and Scholarly Interests

My research interest lies in developing new machine learning and statistical methods for biomedical applications. My current research focus is on the development of new multivariate methods for high dimensional prediction to investigate the relationships between genetics, brain, and behaviour. I am also devising new graphical models for multimodal integration of neuroimaging data and new approaches based on Riemannian statistics for covariance-based classification. To facilitate result interpretation, I will be pursuing research in high dimensional inference and developing new statistical techniques for addressing the open problem of significant feature identification in high dimensional models.



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