Bill Lotter, PhD, is an Assistant Professor in the Department of Data Science at the Dana-Farber Cancer Institute and the Department of Pathology at the Harvard Medical School. He was previously the CTO & Co-Founder of DeepHealth Inc., where he led the development of three FDA-cleared products that use artificial intelligence (AI) to assist in breast cancer detection in mammography. These products are currently processing >1M mammograms per year, via the acquisition of DeepHealth by RadNet Inc. Dr. Lotter holds a PhD in Biophysics from Harvard University and his AI/machine learning experience spans the domains of medical imaging, neuroscience, algorithmic trading, and sports analytics.

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.