Math & Physics Podcast · Parker Levesque, Rayhan Walia

Episode #117 - Generation, Flows and Networks w/ Dr. Emmanuel Bengio

·1 hr 56 min·5 clips
Molecules designed by Emmanuel Bengio's GflowNet models have been synthesized and tested by chemists in real drug discovery pipelines.
Host interviews Dr. Emmanuel Bengio, a machine learning scientist applying novel AI techniques like GflowNets to drug discovery. They discuss his journey into AI, the fundamentals of autoencoders and generative models, and how his research translates into designing real molecules for pharmaceutical testing.

As heard by us

Careful machine-learning talk that keeps graph flow networks concrete.

Emmanuel Bengio comes across as a steady guide to graph flow networks, with his work at Recursion and Mila tied back to drug discovery and the academic path from the University of Montreal to McGill University.

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Why you'd press play

You want graph flow nets unpacked from source to sampled state.

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