February 27-28, 2019
San Francisco

Register and Pay before December 14 2018 and save $500

Day One
Tuesday 27th February, 2018

Day Two
Wednesday 28th February, 2018

08.30
Breakfast & Networking

09.20
Chair’s Opening Remarks

Embracing the Culture of AI: Why Collaboration is Key for Biology & AI to Prosper

09.30
Panel Discussion: Collision of Science & AI: How Traditional Drug Developers Need to Work Together Effectively with AI Pioneers

10.00
Lessons Learned From Small Molecule Drug Discovery Context – Faster and Better Decisions by Virtual ADME Tools

  • Ji Ma Principal Scientist, Amgen

10.30
Potential AI Applications in the Whole Drug Discovery & Development Process

  • Kevin Hua Senior Manager, AI & Machine Learning Development, Bayer

11.00
Morning Refreshments

Harnessing Virtual Knowledge to Improve the Predictability of Drug Discovery Decisions

11.30
Computational Drug Design Engine by A2A Pharmaceuticals

12.00
The Role of AI and Machine Learning Technologies to Empower GSK’s Level of Drug Discovery Innovation

12.30
Piloting Machine Learning & Exploring its Benefits in Exploratory Drug Discovery and Design

  • Matthew Henn Executive Vice President, Discovery and Microbiome R&D, Seres Therapeutics

13.00
Networking Lunch

14.00
Toward a Universal Biomedical Data Translator: from Vision to the Working Prototype

14.30
Applying Artificial Intelligence to Drug Discovery: A Lesson in Success (and Frustration) For Automating In Vivo Assays

15.00
Extending Machine Learning Tools to Increase Drug Discovery Pipeline Robustness and Improve the Chances of Translational Success

  • Lina Nilsson Senior Director of Data Science Product, Recursion Pharmaceuticals

15.30
Chair’s Closing Remarks

15.40
Close of 2nd AI Pharma Innovation: Drug Discovery Summit 2019