Welcome
Benjamin Haibe-Kains, University Health Network - Structural Genomics Consortium
9:00 AM
9:05 AM
Introductory Remarks
Cheryl Arrowsmith, Structural Genomics Consortium
9:20 AM
The Gap between Academia and Industry for Molecular AI
Patrick Riley, VidaVinci
10:10 AM
Accelerating Drug Discovery with a High-Throughput Enantioselective ASMS Platform
Hui Peng, University of Toronto - Structural Genomics Consortium
10:30 AM
Handling DEL training sets effectively
Marie-Aude Guié, X-CHEM
10:50 AM
One Google for Healthcare
Mohamed Nofal, Google
11:10 AM
Coffee/Tea Break
11:25 AM
Towards a Unified Approach for Biomolecular Interaction Modeling
Gabriele Corso, MIT
12:10 PM
Machine learning scoring functions for hit prioritization: lessons from CACHE challenge
Karina Machado, Federal University of Rio Grande, Brazil
12:40 PM
Performance and benefits of AI-based Protein folding for hit prioritization
Matthieu Schapira, University of Toronto - Structural Genomics Consortium
1:10 PM
Lunch Break
2:00 PM
Drug Discovery with BioMedical Foundation Model
Leili Zhang, IBM
2:20 PM
Foundation Models in Drug Discovery
Oren Kraus, Recursion
2:40 PM
Opportunities and Challenges: DEL Data and Beyond
Chris Maddison, Vector Institute
3:00 PM
Coffee/Tea Break
3:15 PM
MAINFRAME, an international, Open Science, ML network to advance pre-competitive drug discovery
Albert Antolin Hernandez, IDIBELL
3:30 PM
Introduction to the AIRCHECK Platform
Benjamin Haibe-Kains, University Health Network - Structural Genomics Consortium
3:45 PM
AIRCHECK Short Demo
Shaghayegh Reza, University of Toronto - Structural Genomics Consortium
3:55 PM
Closing Remarks
Benjamin Haibe-Kains, University Health Network - Structural Genomics Consortium
