AI Powered Drug Discovery and Manufacturing

CONFERENCE 2020

February 27 - 28, 2020

MIT, Cambridge, MA

Agenda

Day 1

9:00am 

9:10am 

9:30am 

10:00am

10:30am

11:00am

12:00pm

1:30pm

3:00pm

3:30pm

5:30pm

4:00pm

8:00am 

Breakfast

 

Welcome 

Innovation in Pharma Industry Phillip Sharp (MIT), Richard Young (MIT)

Active Disruption in Pharma R&D Mathai Mammen (Janssen) 

Discovering New Therapeutic Molecules with ML Regina Barzilay (MIT), Jim Collins (MIT)

 

Break

 

Technical Session: Drug Discovery: Learning from Chemistry 

Session Chair: Rafael Gomez-Bombarelli (MIT)

Speakers:

Tommi Jaakkola (MIT): "De-novo Molecular Design" 

Alan Aspuru-Guzik (U of Toronto): "Do Androids Dream of Therapeutic Molecules?" 

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 (Integral Health), Hugo Ceulemans (Janssen), Ola Engkvist (AZ), Miriam Mathea (BASF), Pat Walters (Relay), Lee Herman (Sunovion) 

 

Break

 

From Wearables to Invisibles! Dina Katabi (MIT)

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)

Adjourn

Day 2

9:00am

10:30am

12:00pm

1:30pm

2:45pm

3:00pm

3:45pm

4:00pm

5:00pm

8:00am

Breakfast 

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

Session Chair: Zavain Dar (Lux Capital)

Speakers:

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

Session Chair: Ryan White (J-Clinic, MIT)

Speakers:

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"

 

Break

 

Panel: Regulatory Issues in AI adoption

Moderator:  Patrick Swann (Amgen)

Participants: Thomas O’Connor (FDA), Jack Chu (CAI), Jeffrey Baker (FDA), Rob Guenard (Biogen)

 

Break

 

Fireside Chat Susan Hockfield (MIT), Shahram Ebadollahi (Novartis), Erik Brynjolfsson (MIT)

 

Best Poster Awards and Closing Remarks

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