Speakers

Eric Karl Oermann (EKO) (@ekoermann) is an Assistant Professor of Neurosurgery, Radiology, and Data Science at NYU. He studied mathematics at Georgetown University with a focus on differential geometry. Dr. Oermann spent six months with the President’s Council on Bioethics studying human dignity under the mentorship of renowned physician-philosopher Edmund Pellegrino prior to forgoing graduate studies in group theory to pursue medicine. Dr. Oermann has won numerous awards for his scholarship including fellowships from the American Brain Tumor Association and Doris Duke Charitable Research Foundation where he was first exposed to neural networks and deep learning. Dr. Oermann was selected as one of Forbes Magazine’s 30 Under 30 for his work on using machine learning to develop prognostic models for cancer patients. He completed a postdoctoral fellowship at Verily (Google Life Sciences), and served as an advisor at Google-X on Project Amber. He has published over one-hundred manuscripts spanning basic research on machine learning, neurosurgery, and the philosophy of medicine, and has founded or co-founded multiple startups in the medical AI space. He is a practicing neurosurgeon and computer scientist, and is dedicated to studying human and artificial intelligence to improve both human health and AI.