Bio


Devinder Kumar is a Postdoctoral Fellow at the School of Medicine, Stanford University. His research centers around Deep Learning and its application in Computer Vision, Medical Imaging & Cognitive Neuroscience. Specifically, the research problem he is currently focusing on is: How to make interpretable computational AI models for various psychiatric disorders.

He obtained is PhD (Jan '17 - Jan '20) while working on explainable AI (XAI) at VIP lab - University of Waterloo and Machine Learning Research Group - University of Guelph where he was supervised by Dr. Alexander Wong (UWaterloo/ Canada research chair, AI & Medical Imaging) and Dr. Graham Taylor (UGuelph/ Vector Inst./ Canada research chair, ML Systems).

Professional Education


  • Doctor of Philosophy, University of Waterloo (2020)
  • Master of Applied Science(s), University of Waterloo (2016)

Stanford Advisors


Research Interests


  • Brain and Learning Sciences
  • Data Sciences
  • Psychology