Breadcrumb Home Machine Learning in Drug Discovery Symposium Agenda Machine Learning in Drug Discovery Symposium Overview Agenda Speakers Organizers Advisory Committee Organizing Committee Workshop Getting here Archive 2024 Overview Speakers Organizers Advisory Comittee Organizing Committee Agenda Workshop 2023 Overview Agenda Abstracts Organizers Advisory Comittee Organizing Committee 2022 Organizers Advisory Committee Organizing Committee Day 1, October 31, 2024 12:00-5:00 pm: Workshop Day 2, November 1, 2024 8:00 am-6:00 pm: Symposium 8:00 - 8:50 am Registration/breakfast 8:50 - 9:00 am Opening Remarks Pat Walters Relay Therapeutics Keynote 9:00 - 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 Henry van den Bedem 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 Broad Institute 2:10 - 2:30 pm Early stage drug design; on property prediction and molecule generation Antonia Mey University of Edinburgh 2:30 - 2:40 pm Award and certificates Poster winners Jessica Ewald Broad Institute Nouraldeen Ibrahim TandemAI/Harvard Bola Khalil Leiden University and J&J Khrystofor Khokhlov MIT and Broad Institute 2:40 - 3:00 pm Break and poster viewing 3:00 - 3:20 pm Accelerating drug discovery with generative AI Jakub M. Tomczak Eindhoven University of Technology Generative AI 3:20 - 3:40 pm AI for protein design (Geometric Deep Learning for Protein Understanding) Jian Tang Mila-Quebec AI Institute HEC Montreal 3:40 - 3:55 pm Closing remarks and acknowledgements Sumaiya Iqbal Eric Sigel 4:00 - 6:00 pm Reception and poster session Latest news News 02.09.2026 Clinical trial explores whether a genetic test can improve early detection of prostate cancer News 02.02.2026 Feng Zhang inducted into National Inventors Hall of Fame News 01.28.2026 How genes influence the microbes in our mouths News 01.23.2026 AI generates short DNA sequences that show promise for gene therapies All news
News 02.09.2026 Clinical trial explores whether a genetic test can improve early detection of prostate cancer