About Me

I am a PhD student at the Department of Computer Science, University of Toronto and the Vector Institute jointly supervised by Allan Jepson and Amir-massoud Farahmand. My research interests include theoretically-sound algorithms for reinforcement learning with a particular focus on state abstraction and representation learning methods. Previously, I was a Senior Research Engineer at the Samsung Toronto AI Centre (2018-2020), where I worked on representation learning and metric learning for computer vision and vision-language integration. In 2017, I completed my Master of Science in Applied Computing at the University of Toronto with a focus in natural language processing and machine learning. I received my Bachelor’s degree in electrical engineering with a minor in software engineering from McGill University. My research is supported by the NSERC CGS D scholarship.