Breadcrumb Home Machine Learning in Drug Discovery Symposium Agenda Machine Learning in Drug Discovery Symposium Overview Organizers Advisory Committee Organizing Committee Getting here Archive 2024 Overview Speakers Organizers Advisory Comittee Organizing Committee Agenda Workshop 2023 Overview Agenda Organizers Advisory Comittee Organizing Committee 2022 Organizers Advisory Committee Organizing Committee Day 1, October 31, 2024 12-5 pm: Workshop Day 2, November 1, 2024 8-6 pm: 08:00 - 08:50 am Registration/breakfast 08:50 - 09:00 am Opening Remarks Relay Therapeutics Keynote 09:00 - 10:00 am How machine learning is influencing protein science and engineering Jennifer Listgarten University of California, Berkeley Morning session Chair: Sumaiya Iqbal 10:00 - 10:40 am Lessons, challenges, and opportunities from the analysis of a massive clinico-genomic dataset, comprising digital pathology images, exomes, and transcriptomes from a half-million cancer cases Nicolas Stransky Caris Life Sciences 10:40 - 11:00 am Break and poster viewing 11:00 - 11:20 am Developing and using generative AI for hit identification and optimization Atomwise Inc. University of California at San Francisco 11:20 - 11:50 am Lightning talks from selected poster presenters Bowen Jing MIT Emma Flynn University of Pittsburgh Thomas Fryer MIT Brian Chamberlain TandemAI Q&A: 10 mins 12:00 - 1:30 pm Lunch and poster viewing Afternoon session Chair: Wengong Jin 1:30 - 2:10 pm Deep learning approaches to antibiotic discovery Jim Collins Massachusetts Institute of Technology Ó³»´«Ã½ 2:10 - 2:30 pm Early stage drug design; on property prediction and molecule generation University of Edinburgh 2:30 - 2:40 pm Award and certificates Poster winners Jessica Ewald Ó³»´«Ã½ Nouraldeen Ibrahim TandemAI/Harvard Bola Khalil Leiden University and J&J Khrystofor Khokhlov MIT and Ó³»´«Ã½ 2:40 - 3:00 pm Break and poster viewing 3:00 - 3:20 pm Accelerating drug discovery with generative AI Eindhoven University of Technology Generative AI 3:20 - 3:40 pm AI for protein design (Geometric Deep Learning for Protein Understanding) Mila-Quebec AI Institute HEC Montreal 3:40 - 3:55 pm Closing remarks and acknowledgements Sumaiya Iqbal 4:00 - 6:00 pm Reception and poster session Latest news News 05.07.2025 How the Novo Nordisk Foundation Center at Ó³»´«Ã½ is using scalable technologies and AI to find the root cause of diabetes News 04.29.2025 Sentinel program among finalists for the $100 Million 100&Change competition News 04.16.2025 WhyIScience Q&A: How a chemist moved to the business side of science News 04.09.2025 Potential Alzheimer’s disease therapeutic target identified in brain immune cells All news
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