2024
ML for Drug Discovery
Summer School
Our Mission
In June 2024, Montreal hosted the first Machine Learning for Drug Discovery Summer School (ML4DD). The event brought together over 160 participants from around the world for a week-long program. Attendees engaged in five days of lectures from more than 20 professors, including Yoshua Bengio, Anne Carpenter, and Michael Bronstein. The program concluded with a two-day hackathon where participants worked with datasets and benchmarks from Polaris, applying machine learning techniques to drug discovery challenges.
Summer School Recap
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Watch the Lectures
Opening Remarks
Speakers: Yoshua Bengio & Dominique Beaini
Day 1 - Intro to ML in Drug Discovery:
Principles & Applications. Speaker:
Bharath Ramsundar
Day 2 - ML in Structure
Based Drug Discovery. Speaker: Gabriele Corso
Day 3 - Generative Models
of Molecular Structures. Speaker: Camille Bilodeau
Day 4 - Phenomics in Drug Discovery
Microscopy and Machine Learning. Speaker: Anne Carpenter
