Anne Heatherington is Senior Vice President and Head of Data Sciences Institute (DSI) with Research and Development (R&D) at Takeda Pharmaceuticals. In this role, she oversees many of the quantitative groups within Takeda, including Statistics and Quantitative Solutions, Global Evidence and Outcomes, Quantitative Clinical Pharmacology, Data Architecture and Digital Solutions and Digital Strategy Group. Her mandate is to drive innovation and excellence in R&D through focusing on knowledge through data, enabling patient-centricity and developing tools and infrastructure to thoroughly understand the safety and efficacy of Takeda's medicines. Anne has over 20 years' experience leading organizations and programs in large pharma, mid-size biotechs and start-up organizations, including Summit Therapeutics, Pfizer Ltd and Amgen Inc. Anne received her bachelor's degree in pharmacy from Queen's University Belfast, Northern Ireland, and her Ph.D. in pharmacokinetics from the University of Manchester, England. She completed post-doctoral training in the Centre for Bioengineering at University of Washington, Seattle.

Isaac “Zak” Kohane, MD, PhD, is the inaugural chair of Harvard Medical School’s Department of Biomedical Informatics, whose mission is to develop the methods, tools, and infrastructure required for a new generation of scientists and care providers to move biomedicine rapidly forward by taking advantage of the insight and precision offered by big data. Kohane develops and applies computational techniques to address disease at multiple scales, from whole health care systems to the functional genomics of neurodevelopment.

He also has worked on AI applications in medicine since the 1990’s, including automated ventilator control, pediatric growth monitoring, detection of domestic abuse, diagnosing autism from multimodal data and most recently assisting clinicians using whole genome sequence and clinical histories to diagnose rare or unknown disease patients.

His most urgent question is how to enable doctors to be most effective and enjoy their profession when they enter into a substantial symbiosis with machine intelligence. He is a member of the National Academy of Medicine, the American Society for Clinical Investigation and the American College of Medical Informatics.