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

My research focuses on Continual Reinforcement Learning, where I develop novel algorithms inspired by cognitive science and neuroscience to help AI agents adapt to non-stationary environments. Grounded in both theoretical rigour and practical utility, I have authored first-author papers at NeurIPS and ICML. Beyond my research, I have co-instructed graduate-level RL courses at McGill (COMP 579) and Polytechnique Montreal (INF8250AE), served as a lead organizer for the Mila RL Workshop and the RL Sofa meeting series, and currently mentors several M.Sc. and Ph.D. students in the lab. I like communicating my research with broader audience through YouTube videos.

I obtained a masters degree in Computer Science from McGill University 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.

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