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Monday September 30, 2024 4:00pm - 4:45pm EDT
  • Evaluate the current state of AI in drug discovery and discuss emerging trends and innovations that will shape the future.
  • Analyze the gap between expectations and results and assess whether the hype surrounding AI in drug discovery is proportionate.
  • Discuss strategies for maximizing the efficiency and innovation potential of AI in drug discovery, including the design of novel compounds and the identification of new drug targets.
  • Summarize case studies and real-world examples that highlight the transformative impact of AI on drug discovery outcomes.
Speakers
avatar for Jeffrey G. Reid, Ph.D.

Jeffrey G. Reid, Ph.D.

Vice President, Chief Data Officer, Regeneron Genetics Center
Dr. Jeffrey Reid is the Chief Data Officer and one of the co-founders of the Regeneron Genetics Center® (RGC™) where he leads a team transforming drug discovery and development with data. His primary focus is on maximizing the impact that the integration of deidentified electronic... Read More →
avatar for Michelle M. Chen, Ph.D.

Michelle M. Chen, Ph.D.

Chief Business Officer, Insilico Medicine
Michelle Chen is the Chief Business Officer of Insilico Medicine, a global leader in generative AI-driven drug discovery & development.  She is responsible for the company’s business and corporate development, portfolio strategies, marketing, and US operations.  As a biotech executive... Read More →
Monday September 30, 2024 4:00pm - 4:45pm EDT

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