AI Powered Drug Discovery and Manufacturing
February 27 - 28, 2020
MIT, Cambridge, MA
Innovation in Pharma Industry Phillip Sharp (MIT)
Active Disruption in Pharma R&D Mathai Mammen (Janssen)
Discovering New Therapeutic Molecules with ML Regina Barzilay (MIT), Jim Collins (MIT)
Technical Session: Drug Discovery: Learning from Chemistry
Alan Aspuru-Guzik (U of Toronto): "Do Androids Dream of Therapeutic Molecules?"
Tommi Jaakkola (MIT): "De-novo Molecular Design"
Jose Miguel Hernandez-Lobato (U of Cambridge): "Generative Models for Synthesizable Molecules and for Molecular Distance Geometries"
Frank Noe (UF Berlin): "Deep Learning Molecular Thermodynamics and Kinetics"
Posters (Lunch Provided)
Panel: Real Cases of AI Implementation: Lessons Learned and Next Steps
Moderator: Gisbert Schneider (ETH Zurich)
Participants: Brandon Allgood (Numerate), Hugo Ceulemans (Janssen), Ola Engkvist (AZ), Miriam Mathea (BASF), Pat Walters (Relay), Lee Herman (Sunovion)
Panel: New Era of Data Collection for Discovery and Manufacturing
Moderator: Najat Khan (Janssen)
Participants: Juan Alvarez (Merck), Djork-Arne Clevert (Bayer), Anne Fischer (Darpa), Steven Kearnes (Google), Joe Tucker (Pfizer), Jose Duca (Novartis), Li Xing (WuXi AppTec)
Panel: Funding AI research: VC perspective
Moderator: Bob Langer (MIT)
Participants: Noubar Afeyan (Flagship Pioneering), Vik Bajaj (Foresite Capital Management), Ari Brettman (Blackstone Life Sciences), Vinod Khosla (Khosla Ventures), Amir Nashat (Polaris), Nicole Stata (Boston Seed Capital)
Technical Session: Drug Discovery: Learning from Biology
Rafael Gomez-Bombarelli (MIT): "Machine Learning Sequence-to-property Relationships for Design and Synthesis of Therapeutic Peptides"
Anne Carpenter (Broad): "Accelerating Drug Discovery Through the Power of Microscopy Images"
Andrew Senior (DeepMind): "AlphaFold: Improved Protein Structure Prediction Using Potentials from Deep Learning."
Peter Sorger (Harvard): "High Dimensional Tissue Imaging and Machine Learning to Enable Next Generation Precision Medicine"
Posters (Lunch Provided)
Technical Session: Make It
Connor Coley (MIT): "Data-driven Modeling of Chemical Reactivity"
Klavs Jensen (MIT): "AI-Assisted Development and Manufacturing of Small Molecules"
Cenk Undey (Amgen): “Advancing the Potential of Artificial Intelligence in the Bio/Pharmaceutical Industry 4.0 Revolution: Amgen’s Journey from Advanced Automation towards Intelligent Systems"
Panel: Regulatory Issues in AI adoption
Moderator: Aine Hanly (Amgen)
Participants: Thomas O’Connor (FDA), Patrick Swann (Amgen), Jack Chu (CAI), Jeffrey Baker (FDA), Shahram Ebadollahi (Novartis), Rob Guenard (Biogen)
Fireside Chat Susan Hockfield (MIT)
Closing Remarks and Adjourn