I am a second year Master's student in the CS department at McGill under the supervision of Dr. Doina Precup. I have been fascinated with Bayesian Learning ever since I took professor Simon Lacoste-Julien's Probabilistic Graphical Models course at MILA and briefly investigated modeling uncertainty using Bayesian Networks for driving exploration in Reinforcement Learning. Currently I am working on efficient approaches for modeling distributions as part of Model Based RL (MBRL).

Prior to joining McGill, I worked as a Research Associate (2016-2018) at Indraprastha Institute of Information Technology, Delhi (IIIT-D) under the guidance of Professor A.V. Subramanyam. My work at IIIT-D revolved around devising general counter forensic methods for popular image processing operations such as Median Filtering. Furthermore, I investigated few shot learning based approaches for the problem of Object Tracking.

I completed my Bachelor's in Instrumentation and Control Engineering (2011-2015) from Netaji Subhas Institute of Technology, Delhi University, following which I joined EXL Services (2015-2016) as a Business Analyst. My work at EXL involved validation of underwriting, balance consolidation and debt sale models used for generating financial insights as part of the credit card portfolio.