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I am a VP of Research at Cohere and I lead Cohere Labs, a fundamental AI research lab that seeks to solve complex machine learning problems. We support research that explores the unknown. I lead a team of researchers and engineers working on making large AI systems more efficient, safe and grounded. I am also interested in the intersection between hardware, software and algorithm stacks.
Prior to Cohere, I was a research scientist Google Brain, now Deepmind. I enjoy working on research problems where progress translates to reliable and accessible machine learning in the real-world. I completed my PhD in Computer Science at Mila AI Institute, supervised by Hugo Larochelle and Aaron Courville. I believe in collaborating widely and creating new 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. Amongst other efforts, I am a member of the MLC research group which has a focus on making participation in machine learning research more accessible. 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 On the limitations of compute thresholds Why data for good lacks precision. Research Papers |
