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Office
530 1st Ave
# SKI8S
New York, NY 10016Phone+1 646-501-0397Fax+1 212-263-8042
Summary
- Background in mathematics (differential geometry), machine learning, bioethics, and genetics. More recently have worked on machine learning with clinical datasets, predicting survival, medical informatics, stereotactic radiosurgery, and minimally invasive neurosurgical approaches.
Currently interested in: deep learning, survival, neural implants, radiomics, artificial intelligence.
Education & Training
- Icahn School of Medicine at Mount SinaiResidency, Neurological Surgery, 2013 - 2020
- Icahn School of Medicine at Mount SinaiResidency, Neurological Surgery, 2012 - 2019
- Georgetown University School of MedicineClass of 2013
Certifications & Licensure
- NY State Medical License 2015 - 2026
- American Board of Neurological Surgery Neurological Surgery
Awards, Honors, & Recognition
- 30 Under 30 in Healthcare Forbes, 2015
- 2015 AANS Annual Meeting: Cerebrovascular First Place Eposter Award American Association of Neurological Surgeons, 2015
- The Stacy L. Rollins, Jr., MD Award for outstanding academic performance. Georgetown University Department of Neurosurgery., 2013
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Publications & Presentations
PubMed
- 1 citationsTrials and Tribulations: Responses of ChatGPT to Patient Questions About Kidney Transplantation.Jingzhi Xu, Michal Mankowski, Karen B Vanterpool, Alexandra T Strauss, Bonnie E Lonze
Transplantation. 2025-03-01 - Self-improving generative foundation model for synthetic medical image generation and clinical applications.Jinzhuo Wang, Kai Wang, Yunfang Yu, Yuxing Lu, Wenchao Xiao
Nature Medicine. 2025-02-01 - 1 citationsAssessing superficial temporal artery-middle cerebral artery anastomosis patency using FLOW 800 hemodynamics.Karl L Sangwon, Matthew Nguyen, Daniel D Wiggan, Bruck Negash, Daniel A Alber
Journal of Neurosurgery. 2025-02-01
Journal Articles
- Variable Generalization Performance of a Deep Learning Model to Detect Pneumonia in Chest Radiographs: A Cross-Sectional StudyEric Oermann, MD, PLoS One
- Automated Deep-Neural-Network Surveillance of Cranial Images for Acute Neurologic EventsMargaret Pain, J Mocco, Javin Schefflein, Burton Drayer, Joseph J Titano, Samuel Cho, Marcus Badgeley, Michael Cai, Joshua Bederson, Eric K Oermann, Nature
Press Mentions
- Artificial Intelligence Meets the World’s Largest Database of Brain ScansApril 25th, 2023
- PCPs ‘First Line’ of Defense Against Projected Increase in Neurological DisordersAugust 13th, 2020
- Artificial Intelligence in Medical DevicesDecember 2nd, 2018
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