Join us on May 19th for a unique opportunity to hear from Daphne Koller, who will present her keynote on “Machine Learning for Better Medicines”.

This presentation will describe a new approach for target and drug discovery that integrates multimodal data from human cohorts and cellular models with the power of AI and machine learning, uncovering genetic targets to unlock new therapeutic hypotheses for the treatment of complex diseases. Her team uses machine learning to analyze high-content phenotypic data from humans and from cells, allowing them to derive more refined phenotypes and scale them up via imputation. They combine these rich phenotypic outputs with human genetics, hugely increasing the power of genetic analyses and providing them with novel, multimodal genetic insights across both human and cell data and identify therapeutic targets with increased probability of success.

Daphne Koller is CEO and founder of insitro, a machine learning-driven drug discovery and development company transforming the way drugs are discovered and delivered to patients. She was the co-founder, co-CEO, and president of online education platform Coursera, the largest platform for massive open online courses (MOOCs), which has reached over 100 million learners worldwide. She is also the co-founder of Engageli, an interactive digital learning platform aimed at improving learning outcomes. Daphne was the Rajeev Motwani Professor of computer science at Stanford University, where she served on the faculty for 18 years, and where she remains an adjunct faculty member. She was formerly chief computing officer of Calico, an Alphabet company in the healthcare space. She is the author of over 300 refereed publications appearing in venues such as Science, Cell, Nature Genetics, NeurIPS and ICML, with an h-index of over 150. Daphne was recognized as one of TIME Magazine’s 100 most influential people in AI in 2024 and 100 most influential people in 2012, and Newsweek’s 10 most important people in 2010.