Matthew A Levin, MD Email Matthew Levin
- ASSOCIATE PROFESSOR | Anesthesiology, Perioperative & Pain Medicine
- ASSOCIATE PROFESSOR | Genetics and Genomic Sciences
- Hospital Affiliation
- The Mount Sinai Hospital
- The Mount Sinai Hospital 212-241-8382 212-241-8382
Dr. Levin is a Board Certified Cardiac Anesthesiologist, Board Certified Clinical Informaticist, Director of Research Informatics for the Department of Anesthesiology, Perioperative & Pain Medicine, and Director of the Clinical Data Science Team for the Mount Sinai Health System. He also holds a joint appointment in the Department of Genetics and Genomics Sciences and collaborates with the Icahn Institute for Data Science and Genomic Technology. Dr. Levin began his career by working for five years in Silicon Valley and the software industry during the dot-com boom. He then changed careers to pursue medicine, but never lost his passion for technology. Dr. Levin is excited to be bringing the latest innovations in systems architecture, machine learning and big data into the healthcare arena in order to improve patient care and save lives. He created and directs the Department of Anesthesiology's large perioperative data warehouse, which contains detailed demographic, physiologic, and medication data for over 900,000 anesthetic cases. As Director of the Health System Clinical Data Science Team, he has been leading the initiative to build a streaming data science pipeline that enables the deployment of real-time machine learning algorithms to provide next-generation decision support and alerting to front line clinicians.
Dr. Levin's clinical research interest is in understanding risk factors for morbidity and mortality in perioperative period, with particular focus on intraoperative physiology and hemodynamics. I have published extensively in this area. Through his multi-disciplinary collaborations with other researchers in the Icahn School of Medicine, he is pushing the boundaries of perioperative research in order to answer previously un-addressable questions on the phenotype and genotype of the response to anesthetic and surgical stress. Dr. Levin is affiliated with The Charles Bronfman Institute for Personalized Medicine and collaborates closely with fellow IPM member Dr. Eimear Kenny. Together they were awarded a prestigious two year starter grant (2015-2017) from the Society of Cardiovascular Anesthesiologists to investigate the Genomics of Vasoplegia, a condition of profound, persistent hypotension sometimes seen after cardiopulmonary bypass. Dr. Levin's 2014 article "Low intraoperative tidal volume ventilation with minimal PEEP is associated with increased mortality" was recently recognized as the most cited article from 2013-2014 in the British Journal of Anaesthesia, contributing to the BJA's increase in impact factor to 5.616.Google Scholar ResearchGate
American Board of Preventive Medicine
American Board of Anesthesiology
Anesthesia, Bioinformatics, Cardiovascular, Genomics
MD, Mount Sinai School of Medicine
BS, Massachusetts Institute of Technology
Lenox Hill Hospital
Mount Sinai Hospital
Fellowship, Cardiothoracic Anes.
Mount Sinai Hospital
EnglishDownload the CV
Starter Grant - Genomics of Vasoplegia
Society of Cardiovascular Anesthesiologists (SCA)
A two year award to study the genomics of vasoplegia (profound hypotension) in cardiac surgical patients. The SCA Starter Grant is awarded to promising young Investigators who are within 5 years of finishing training.
Dr. Levin is investigating the genomic basis of vasoplegia - a state of profound, refractory hypotension often seen in patients undergoing cardiac surgery.
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Dr.Levin did not report having any of the following types of financial relationships with industry during 2018 and/or 2019: consulting, scientific advisory board, industry-sponsored lectures, service on Board of Directors, participation on industry-sponsored committees, equity ownership valued at greater than 5% of a publicly traded company or any value in a privately held company. Please note that this information may differ from information posted on corporate sites due to timing or classification differences.
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