AI for Health and Humanity
An Executive Masterclass with Daphne Koller
An interactive 60-minute session with one of the pioneers of modern AI — and the founder and CEO of insitro, the physical AI company applying causal machine learning to human biology and drug discovery.
Taets Art & Event Park, World Summit AI, 2:30 – 3:30, 8th October 2026
Places are limited.
Attendees must hold a valid expo and content ticket for World Summit AI.
Who this is for:– Pharmaceutical and biotechnology leaders– Health technology leaders– Senior and established researchers– Frontier AI leaders
Format:– Opening fireside with Daphne, moderated (20–30 minutes)– Facilitated group discussion and open Q&A (20 minutes)– Closing reflections from Daphne (10 minutes)
Daphne will address key questions senior leaders face as AI reshapes drug discovery and life sciences:
The trajectory of AI in biology and drug discovery: where real value is created versus hype
Beyond foundation models: what the next generation of AI systems will look like — and why
What life sciences executives most often get wrong about AI — and how to reset the conversation
Data: the good, the bad, and the ugly
A candid look at the next 3–5 years: where real impact will manifest, and when
DAPHNE KOLLER
Former Professor of Computer Science & Pathology, Stanford University; Cofounder, Coursera; Founder & CEO
insitro
Daphne Koller is CEO and Founder of insitro, a physical AI therapeutics company. Daphne is also co-founder of Engageli, was the Rajeev Motwani Professor of Computer Science at Stanford University, where she served on the faculty for 18 years, the co-CEO and President of Coursera, and the Chief Computing Officer of Calico Labs. She is the author of over 300 refereed publications with an h-index of over 150. Daphne was recognized as one of TIME Magazine’s 100 most influential people in 2012 and 100 most influential people in AI in 2024. She received the MacArthur Foundation Fellowship in 2004, the ACM Prize in Computing in 2008, the ACM AAAI Allen Newell Award in 2019, and the Technical Leadership Abie Award Winner in 2022. Daphne was inducted into the National Academy of Science in 2023, into the National Academy of Engineering in 2011 and elected a fellow of the American Association for Artificial Intelligence in 2004, the American Academy of Arts and Sciences in 2014, and the International Society of ComputationalBiology in 2017.