I am currently a PhD student in Computer Science at McGill University and Mila - Quebec AI institute. I am an electrical engineer and a deep learning enthusiast with an avid interest in developing brain-inspired AI. I come from the city of Bokaro in Jharkhand, India.

Learn more


  • Ph.D. Candidate in Computer Science
      LiNC Lab, MILA / McGill University, Montreal
      Vanier scholar 2021

  • M.Sc. in Neuroscience
      McGill University, Montreal

  • B.Tech Hons.
      Indian Institute of Technology Kharagpur   
    • Majors in Electrical Engineering
    • Minor in Computer Science and Engineering

Projects and Research Experience

My projects span various domains. The project details are mentioned on the Projects page.

Impact of approximate gradients on learning performance in neural networks

McGill University, Montreal

May 2021 - Present

BP2T2 - Biologically-plausible Backpropagation Through Time

McGill University, Montreal

October 2020 - Present


IIT Kharagpur

October 2014 - December 2015


  • July 2021: Received the Vanier scholarship as part of the 2021 cohort.
  • January 2021: Paper accepted in Neuroimage.
  • December 2020: Presented two posters at NeurIPS workshops (BARL 2020 and BeyondBackProp 2020).
  • October 2020: Co-organised a virtual workshop as part of Cognitive Computational Neuroscience (CCN) conference.
  • November 2019: Paper published in Frontiers in Neuroscience, Brain Imaging Methods.
  • September 2019: Started PhD in Computer Science at MILA/McGill University.
  • August 2019: Graduated MSc in Neuroscience.
  • June 2019: Presented poster at OHBM annual meet in Rome.
  • May 2019: Presented poster at ISMRM annual meet in Montreal.
  • August 2018: Won the Iron award in Intel Innovate FPGA Grand Finals
  • December 2017: Paper accepted at IEEE 12th International Conference on Industrial and Information Systems (ICIIS)