I am a Master's student at McGill University / Mila supervised by Doina Precup and Jeremy Cooperstock. Broadly, my research focusses on theoretical aspects of Reinforcement Learning, Stochastic Optimisation and Probabilistic Inference.

I am interested in using tools from Information Theory, Statistics and Optimisation to design algorithms for solving real-world decision-making problems. I am also interested in investigating how the theoretical underpinnings of these algorithms affect their applicability.

Some of my research projects have explored the applications of machine learning in assistive technologies and disaster relief. 


©2019 by Gandharv Patil.