Pravish Sainath

I’m a Ph.D. student at Université de Montréal, advised by Prof. Guillaume Lajoie.

The purpose of my life and study is to better understand the nature and mechanisms of both natural and artificial intelligence.

My broad interests span the intersection between the two vast disciplines of artificial intelligence and neuroscience.
I am mostly interested in using computational and cognitive neuroscience to improve deep and reinforcement learning methods and applying deep learning methods on neuroimaging data to better understand the brain.

Previously, I was an engineer at the startup Hammerhead, where I worked on computing cycling fitness metrics from smart cycling sensors for their flagship product Karoo and developing navigation solutions for the platform.