I am a Ph.D. candidate advised by Prof. Doina Precup in the Computer Science department at McGill University and Mila, Montreal, Canada.

My primary research area is reinforcement learning. Within reinforcement learning, I am interested in developing methods to help agents learn continually in complex environments and designing algorithms to propagate reward information efficiently. My ultimate goal is to make reinforcement learning agents resource-efficient. I like communicating my research with broader audience through YouTube videos.

I obtained a masters degree in computer science from McGill University and Mila in 2019. Before that, I worked as a Data Scientist at Fractal Analytics for roughly two years. I went to P.E.S. Institute of Technology, Bengaluru, India, for bachelor's studies in telecommunication engineering. You can find more on my CV.

Besides research, I like to read books, play chess, meditate, and maintain an active lifestyle.

Email: nishanth127127 [AT] gmail [DOT] com.