ENPICOMPodcast
Models & Molecules
Inside the digital transformation of drug discovery.
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Featured episode
Do Soon Kim | Navigating the convergence of tech and pharma
Machine learning is reshaping our understanding of intelligence, allowing us to solve problems and understand biology in ways that go beyond human intuition.
In the third episode of Models & Molecules, we speak with Do Soon Kim, Head of Product at Xaira Therapeutics. With a background that bridges big tech (AWS) and big pharma (Eli Lilly), Do Soon offers a unique, holistic view of the field. He discusses the crucial role of effective communication in diverse teams, the current state of AI adoption, and the need to understand biology at a cellular level.
About the podcast
At the intersection of computation and biology, Models & Molecules explores how data, algorithms, and science come together to design the medicines of tomorrow.
Each episode features candid conversations with the people shaping this transformation, from pharma R&D leaders to computational biologists and AI innovators, about the ideas, challenges, and technologies redefining how drugs are discovered.
Produced by ENPICOM, Models & Molecules offers a rare look behind the buzzwords of AI-driven discovery, uncovering the practical realities, lessons learned, and moments of insight that emerge when biology meets computation.
