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Biomedical Informatics Entrepreneurs Salon: Andrew Beam, Harvard University & Lila Sciences
February 2nd, 2026 ~ 12:00pm - 01:30pm
Harvard Medical School, Gordon Hall Room 106, The Waterhouse Room or online via Zoom 12:30pm-1:30pm
Andrew Beam, PhD, Associate Professor at Harvard and Chief Technology Officer of Lila Sciences
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Featured Speaker
Andrew Beam
Associate Professor at Harvard and Chief Technology Officer of Lila Sciences
Andrew "Andy" Beam, PhD is a founding editor at NEJM AI, co-host of NEJM AI Grand Rounds, and an Associate Professor in the Department of Epidemiology at Harvard. He also serves as Chief Technology Officer of Lila Sciences, an early-stage start-up developing new techniques for scientific discovery with AI. Andy is a long time AI optimist and is deeply committed to realizing an AI-enabled health care system that works for everyone. Andy has nearly two decades of experience advancing artificial intelligence across academia and industry. His work spans robotics, statistics, computational biology, deep learning, and medical AI, particularly in life science and neonatal care. Beam has developed new methodologies for AI-driven diagnosis, medical decision-making, protein engineering, and foundation biomedical models. He is widely published across many areas of biomedicine and has played key roles in establishing new academic journals and educational programs that shape the future of AI in medicine. His contributions have been recognized through multiple awards and honors in healthcare innovation.
Host
Isaac Kohane
Chair of the Department of Biomedical Informatics, Harvard Medical School
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.
Tags: Biomedical Informatics Entrepreneurs Salon
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