Deepak Sharma

Machine Learning • School Of Computer Science • McGill University and MILA.

Hi, I am a Computer Science Master’s student at McGill University and MILA, working under Dr. Joelle Pineau and Dr. Audrey Durand.

Research Interests
My research interests are primarily motivated by the application area that I am focussing on, e.g. model interpretability for ML applications in medicine. I am interested in machine learning interpretability, graph representation learning, model uncertainty, active learning, and causal inference.

I am passionate about their applications to improve human productivity and decision making in domains like healthcare and finance.

If you'd like to chat about research, discuss a potential collaboration or a job opportunity, please feel free to reach out to me via email or linkedin.


Sep 7, 2021 Started an internship as a Research Developer working on Automatic Speech Recognition (ASR) models at Nuance Communications.
Jul 29, 2021 Our work on Benchmarking Bias Mitigation Algorithms got accepted at NeurIPS, 2021.
Jul 20, 2021 Attending the Oxford Machine Learning Summer School, remotely!
Dec 1, 2020 Started working on RECOVER: Repurposing Engine for COVID-19 Emergency Response.
Jun 20, 2020 Our work on Deep Learning for Genome-Wide Association Studies got accepted to the Workshop on ML Interpretability for Scientific Discovery at ICML, 2020.