Eric Karl Oermann, M.D.

Principal Investigator (NYU OLAB), neurosurgeon, entrepreneur, and software engineer. Gets ideas from time to time, often builds MLOps infrastructure, and always brings the corgis.

Lavender Yao Jiang, B.S.

PhD Student, NYU OLAB. Does science, busy rethinking healthcare and building the future.

Kyunghyun Cho, Ph.D.

Associate Professor of Data Science and Computer Science. Kyunghyun Cho is an associate professor of computer science and data science at New York University and CIFAR Fellow of Learning in Machines & Brains. He is also a senior director of frontier research at the Prescient Design team within Genentech Research & Early Development (gRED). He was a research scientist at Facebook AI Research from June 2017 to May 2020 and a postdoctoral fellow at University of Montreal until Summer 2015 under the supervision of Prof. Yoshua Bengio, after receiving MSc and PhD degrees from Aalto University April 2011 and April 2014, respectively, under the supervision of Prof. Juha Karhunen, Dr. Tapani Raiko and Dr. Alexander Ilin. He received the Samsung Ho-Am Prize in Engineering in 2021.

Yindalon Aphinyanaphongs, M.D., Ph.D.

Director of the NYU Langone Predictive Analytics Unit. Turns medical AI ideas into medical AI tools.

Douglas Kondziolka, M.D.

Dr. Douglas Kondziolka is the Gray Family Professor of Neurosurgery, Radiation Oncology, and the Vice Chair of Clinical Research for the NYU Langone Department of Neurosurgery. He is one of the most highly cited neurosurgeons in the world, and an innovator in using data science to understand problems in healthcare and neurosurgery.

John Golfinos, M.D.

Dr. John G. Golfinos is a Professor of Neurosurgery, Otolaryngology, and the Gray Foundation Chair of Neurosurgery at NYU Langone. He is one of the strongest supporters of medical AI research at NYU Langone, and kickstarted the NYU Langone Foundation Model Program with the purchase of BigO (See Hardware Resources).

Shannon Ciprut

Chief Administrator for the NYU Medical Foundation Model Program. Please contact Shannon with any questions or concerns.

Sarah Marcotte, R.N.

Sarah is a master’s prepared registered nurse who is passionate about the intersection between neuroscience and technology. She is interested in using data science and artificial intelligence to address challenges in healthcare to ultimately improve patient outcomes and continuity of care. She has experience working in research at Columbia University in the Developmental Affective Neuroscience Lab and working as a nurse in the operating room at Columbia University Irving Medical Center. She is currently the research nurse for the NYU Department of Neurosurgery and is excited about bringing a nursing perspective to the NYUMets project..

More team members, M.D., Ph.D.

more team members.