Our Team

Staff

**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. Prior to attending medical school, Dr. Oermann spent six months with the President’s Council on Bioethics studying human dignity under the mentorship of reknowned physician-philosopher Edmund Pellegrino. 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. He has published over one-hundred manuscripts spanning basic research on machine learning, neurosurgery, and the philosophy of medicine. 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. Dr. Oermann completed a postdoctoral fellowship at Verily (Google Life Sciences), and served as an advisor at Google-X on Project Amber. He has founded or co-founded three startups in the medical AI space. He is interested in understanding and protecting human intelligence by using machine learning to better understand the human brain and the human brain to improve machine learning.

**Katherine (Katie) Link** is previously a Google AI Resident where she participated in Google-X’s Project Amber and a former fellow from the Allen Institute for Brain Science. She is interested in using deep learning to advance modern healthcare and medicine further our understanding of the human brain. Past projects ranged from using deep learning to reconstruct electron microscopy imaging and MRI studies, to attempting to diagnose depression from integrating psychophysics with electrophysiology recordings. Her current project is NYUMets – building the world’s largest open dataset of brain metastases (and cancer) and studying the use of recurrent models with longitudinal imaging of metastatic cancer.

**Otto** (@ottodacorgi) is a Welsh Pembroke Corgi and the mascot of our lab. He likes naps, people, and food.

**Daniel Orringer, M.D. (DO)** (@DanOrringerMD) is an Associate Professor of Neurosurgery and Pathology in the Department of Neurosurgery of the NYU Grossman School of Medicine. He is one of the inventors of stimulated Raman histology and is an international leader in the use of intraoperative, digital pathology to guide clinical care. As a neurosurgeon at NYU Langone’s Brain and Spine Tumor Center, part of Perlmutter Cancer Center, he treats people who have tumors of the spinal cord and the brain, both those that originate in the brain and spread to the brain from other organs. DO runs a highly interdisciplinary, National Health Institutes–funded research group focused on three initiatives—we aim to improve surgical outcomes for people with brain tumors, use artificial intelligence to support surgical decision-making and brain tumor diagnosis, and conduct clinical and translational trials of novel therapeutics. He is the recipient of six grants from the National Institutes of Health. He is most proud of receiving the Andrew Parsa Young Investigator Basic/Translational Research Award from the Society for Neuro-Oncology in 2016, the Congress of Neurological Surgeons’ Innovator of the Year Award in 2017, and the Congress of Neurological Surgeons’ Rosenblum–Mahaley Clinical Research Award in 2019.

Postdoctoral Fellows

**Young Joon (Fred) Kwon, Ph.D.** is a physician-scientist in training and an aspiring radiologist. I have research experience and peer-reviewed publications in molecular imaging, radiation physics, computer vision, and artificial intelligence. Clinically, I have worked as a certified EMT and am currently a senior clinician in a student run, physician supervised clinic at Mount Sinai. For my PhD thesis, I developed machine learning algorithms to increase accessibility of artificial intelligence research and to assist clinicians in interpreting medical imaging data.

Graduate Students

**Lavender Yao Jiang** graduated from Carnegie Mellon majoring in Electrical and Computer Engineering and Mathematical Sciences. She is interested in natural language processing and its application in healthcare. She is the lead researcher and principle engineer of NYUTron, one of the world’s largest and most sophisticated efforts to study large language models in healthcare. While at CMU, Lavender had the pleasure of working on signal processing, neuroscience, and robotics projects with Drs. José M.F. Moura, Pulkit Gover, and Howie Choset. In her free time, Lavender enjoys cooking, bouldering, and playing video games. She

**Chris Xujin Liu** graduated from Carnegie Mellon University with degrees in Electrical and Computer Engineering and Biomedical Engineering. He interested in the intersection of biological intelligence and machine intelligence, and studies deep learning models of human neuroscience. In his free time, he enjoys playing jazz guitar and bouldering.

MEDICAL STUDENTS 2022-2023
Alexander “Scanner” Cheung (NYU 2023)
Rachel Gologorsky (ISMMS 2024)
Aly Valliani (ISMMS 2023)
Mustafa Nasir-Moin (HMS 2026)

RESIDENTS 2022-2023
Sean Neifert, M.D. (Neurosurgery 2028)

UNDERGRADUATES 2022-2023
Grace Von Oiste (Harvard University Biomathematics 2024)
Ming Cao (NYU CS/DS 2023)
Chenkang Stephen Zhang (NYU CS/DS 2023)
Lucy Wu (NYU CS/DS 2023)
Gracy Yang (NYU CS/DS 2023)
Gavin Yang (NYU CS/DS 2023)

Former Team Members
John Zech, M.D. (Columbia University, Radiology)
Rachel Bronheim, M.D. (HSS, Orthopedic Surgery)
Martin Kang, M.D. (Tempus Inc.)
Brett Marinelli, M.D. (MSHS, Interventional Radiology)
Sulaiman Somani, M.D. (Stanford, Internal Medicine)
Annika Brundyn, M.S. (nVidia)
Jesse Swanson, M.S. (ByteDance)
Brian E. Murphy, M.S. (NYU Langone Health)
Yifan Li, M.S. (Virginia Tech SOM)
Michael A George, M.S. (Rosalind Franklin SOM)

**2022 Spring - “OBaby” Shower (mixed reality) for soon-to-be youngest lab member (Vivian)**