About Me

My current research focuses on addressing difficult and open problems in Artificial Intelligence and Natural Language Processing (NLP), including deep learning, common-sense reasoning (CSR), language understanding, causality, and dialogue. My prior work has consisted of developing pioneering systems to successfully resolve difficult CSR tasks, proposing protocols and evaluation metrics to better gauge model performance, as well as creating more challenging and extensive CSR benchmarks towards the pursuit of both intelligent and interpretable machines. 

196c5b76-bbed-4b89-9fad-6c35aea374d4.jpg

EDUCATION

RESEARCH INTERESTS

Natural Language Processing

  • Common-sense Reasoning

  • Language Understanding

  • Dialogue

2016 - 2021

Mila, McGill University

Reasoning and Learning Laboratory

Ph.D. in Computer Science

Machine Learning & Artificial Intelligence​

  • Interpretability, Fairness, and Bias

  • AI & Ethics

  • Causality

Bioinformatics & Applied Mathematics

  • Artificial Pancreas

  • Bayesian Estimation

2014 - 2016

McGill University

Reasoning and Learning Laboratory

M.Sc. in Computer Science

2010 - 2014

McGill University

B.Sc. in Joint Physics & Computer Science