I am a Research Intern at the NeuroPoly Lab at Polytechnique Montréal and MILA, where I’ll be starting my Ph.D. this Fall. My current work focuses on developing deep learning-based methods for the segmentation of Multiple Scelorosis lesions from the magnetic resonance (MR) images of the brain and the spinal cord. My master’s thesis work focused on the three-dimensional segmenation of scoliotic spines from MR volumes using deep generative modelling techniques for unsupervised synthesis and Bayesian uncertainty estimation in unsupervised learning settings. My greater goal is to make deep learning models more interpretable and explainable for their deployment in real clinical settings.
Outside of work, I am an avid sports fanatic and mostly follow football, cricket and formula 1. I am also interested in behavioral economics and like to keep myself updated with the latest in cryptocurrency. Hit me up if you have any book recommendations or just to talk crypto!
M.A.Sc in Electrical Engineering, 2021
Ecole de Technologie Superieure
B.Tech in Electronics and Communication Engineering with Minor in Mathematics, 2019
Shiv Nadar University