In association with the AACR Cancer Data Science Task Force

March 4-7, 2027
Hyatt Regency San Francisco Downtown SOMA
San Francisco, California

CONFERENCE COCHAIRS

Christina Curtis, Stanford University, Stanford, California
Elana J. Fertig, University of Maryland School of Medicine, Baltimore, Maryland
Benjamin Haibe-Kains, UHN Princess Margaret Cancer Centre, Toronto, ON, Canada
Dana Pe’er, Memorial Sloan Kettering Cancer Center, New York, New York
Sohrab Shah, Memorial Sloan Kettering Cancer Center, New York, New York
Yu Shyr, Vanderbilt University Medical Center, Nashville, Tennessee

The AACR Data Science and Artificial Intelligence in Oncology Conference will bring together researchers, clinicians, data scientists, computational biologists, and technology innovators to explore how data science and artificial intelligence are reshaping cancer research and clinical care. Presentations will highlight the latest advances in AI applications in oncology, real-world data analytics, systems biology, AI-driven imaging, causal dynamic models, and computational approaches for modeling and predicting cell plasticity and disease trajectories. The program will also feature talks on emerging strategies in big data integration, benchmarking, clinical trials, and functional precision medicine, while fostering discussion on the translation of AI-driven discoveries into meaningful patient outcomes. This conference will provide a premier forum for interdisciplinary collaboration and innovation, accelerating the development and application of data science and AI across the oncology ecosystem.

Please Note: All presentations at this event represent the opinions of the presenter and do not represent the position or the opinion of the AACR or its members.