Philippe Ayala

Principal GenAI Scientist

Bio

Philippe Ayala leads the team that builds CAS Newton, CAS’s AI platform for scientific discovery. Before joining CAS, he led cancer drug discovery teams at BioNumerik Pharmaceuticals, contributing to two drugs that advanced to registration trials.  He has also spent time in academia, developing methods for high-performance electronic structure calculations under Prof. H. B. Schlegel at Wayne State University and Prof. Gustavo Scuseria at Rice University. Philippe holds Dipl. Ing. From Ecole Supérieure de Chimie Physique Électronique de Lyon and a Ph.D. in quantum chemistry from Wayne State University.

Digital R&D

Five Markers of AI Readiness in R&D

AI-powered solutions hold so much potential for faster scientific innovation, but there are key milestones organizations must achieve before they can move beyond the pilot phase. These five markers are the cornerstones of AI readiness.
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Digital R&D

How ensemble AI models deliver better scientific results

Discover how ensemble models—the same AI technique behind movie recommendations—are transforming scientific research and prior art search.
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Hand writing chemical formulas and reaction equations on a black chalkboard with white chalk.
Emerging Science

Are large language models right for scientific research?

ChatGPT has redefined the conversation around AI but is it right for scientific research? Find out more about the path ahead for LLMs in science.
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