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I am working on adaption, building extremely efficient AI systems. I was a VP of Research at Cohere where I led Cohere Labs, a frontier AI research lab that seeks to solve complex machine learning problems. Prior to Cohere, I was a research scientist at Google DeepMind. My research has been featured in the Washington Post, New York Times, Atlantic, Axios, Techcrunch.
I enjoy working on research problems where progress translates to reliable and accessible machine learning in the real-world. I am also interested in the intersection between hardware, software and algorithm stacks. I completed my PhD in Computer Science at Mila AI Institute, supervised by Hugo Larochelle and Aaron Courville. I believe in collaborating widely and changing the spaces where breakthroughs happen. I am on Kaggle's ML Advisory Research Board, on the World Economic Forum council on the Future of Artificial Intelligence and Data Frontiers. I was recognized as one of the most influential people in AI by Time Magazine, and so now I spend considerable time trying to lower expectations when I meet people for the first time. If you made it this far -- Listen to underrated ml -- a podcast where my younger brother Sean Hooker and I discuss underrated ideas in machine learning. Other writings: The Hardware Lottery The leaderboard Illusion On the limitations of compute thresholds Why data for good lacks precision. Research Papers |
