Yeva Shan, Ph.D. is Director of External Innovation in R&D Data, Data Science & AI at Johnson & Johnson Innovative Medicine. She leads efforts to identify and advance emerging AI- and data-driven innovations across biotech, academia, and the broader technology ecosystem. Her work focuses on predictive biology, generative AI–enabled science, and strategic partnerships that translate cutting-edge research into impactful applications for drug discovery and development.
Prior to joining Johnson & Johnson, Dr. Shan advised life sciences organizations on AI strategy and partnerships. She began her career as a molecular biologist, bringing a strong scientific foundation to her work at the intersection of data, technology, and innovation.