Daniel Haders Joins The BioHub to Discuss Model Medicines’ Contrarian Approach to AI Drug Discovery

Daniel Haders podcast interview on Model Medicines’ contrarian approach to AI drug discovery

Daniel Haders Joins The BioHub to Discuss Model Medicines’ Contrarian Approach to AI Drug Discovery

Daniel Haders Joins The BioHub to Discuss Model Medicines’ Contrarian Approach to AI Drug Discovery

Daniel Haders II, Ph.D., joined Amber Hayes on The BioHub to discuss how Model Medicines is taking a differentiated approach to AI drug discovery through speed, efficiency, biological choke points, and GALILEO™-driven inference.
Illustrated portrait of Patrick ONeill, Head of Partnerships and Investor Relations of Model Medicines

Patrick ONeill

Head of Partnerships and Investor Relations

In this episode of The BioHub by Avetix, Model Medicines Co-Founder and CEO Daniel Haders II, Ph.D., discussed the company’s distinct approach to AI-native drug discovery and why it has deliberately taken a different path from many conventional AI drug discovery platforms. The conversation explored Model Medicines’ use of small but highly diverse datasets, large-scale inference, biological choke points, and program-level validation across oncology and infectious disease. Dr. Haders also shared the story behind the company’s formation, how the team thinks about prioritization and capital efficiency, and how GALILEO™ is being applied to drug discovery problems long considered difficult, “undruggable,” or impossible to solve.