Molly Gibson serves as co-founder and chief strategy and chief innovation officer of Generate Biomedicines, a Flagship Pioneering company. At Generate, she oversees corporate strategy, platform and data strategy, and an innovation group, called G:Labs that explores novel applications of the company’s generative biology platform.

She is also a senior principal at Flagship Pioneering, working as part of a venture-creation team to found and grow companies at the intersection of biology and machine learning. Through her role in Flagship Labs, Molly has contributed to the launch and growth of Tessera Therapeutics and Cobalt Biomedicines, which was merged into Sana Biotechnology.

Molly’s work has resulted in multiple pending patents and publications, including articles in Science and Nature. Molly was honored in 2020 in Endpoints News' 20 under 40 list in biopharma and in 2021 in Business Insiders’ list of 12 young serial entrepreneurs building the next generation of biotech startups.

Molly received a PhD in computational and systems biology from Washington University in Saint Louis in the Center for Genome Sciences, with the support of a National Science Foundation Graduate Research Fellowship. At Washington University, Molly collaborated with St. Louis Children's Hospital to study the effects of early life interventions on development of the preterm infant gut microbiome and health outcomes.

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.