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Narges Sharif Razavian, PhD

Assistant Professor, Department of Population Health

Assistant Professor, Department of Radiology

Machine Learning, Artificial Intelligence, Predictive Analytics, Biomarker Discovery

I am an assistant professor in the Departments of Population Health and Radiology conducting research in the Center for Healthcare Innovation and Delivery Science (CHIDS), and a member of its Predictive Analytics Unit.

My lab's research is focused on the intersection of machine learning, artificial intelligence, and medicine. Using millions of records in the Electronic Health Records database at NYU Langone, as well as hundreds of thousands of imaging and millions of genomic data points, we focus on a number of important topics, including but not limited to: prediction of upcoming preventable conditions and events using machine learning and data science, discovery of disease subtypes using radiology and pathology imaging and electronic records, discovery of existing but undiagnosed medical conditions using electronic health records, and, the discovery of biomarkers and factors associated with important outcomes, etc. 

We are committed to open-source model development and release. 



Academic office

227 East 30th Street

6th Floor, Room 639

New York City, NY 10016

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PhD from Carnegie Mellon University

New York University, Courant Institute, Computer Science Department, Machine Learning group

Razavian, Narges; Major, Vincent J; Sudarshan, Mukund; Burk-Rafel, Jesse; Stella, Peter; Randhawa, Hardev; Bilaloglu, Seda; Chen, Ji; Nguy, Vuthy; Wang, Walter; Zhang, Hao; Reinstein, Ilan; Kudlowitz, David; Zenger, Cameron; Cao, Meng; Zhang, Ruina; Dogra, Siddhant; Harish, Keerthi B; Bosworth, Brian; Francois, Fritz; Horwitz, Leora I; Ranganath, Rajesh; Austrian, Jonathan; Aphinyanaphongs, Yindalon

NPJ digital medicine. 2020 Oct; 3:130

Razavian, Narges

Nature medicine. 2019 Sep; 25(9):1334-1336

Hammond, Robert; Athanasiadou, Rodoniki; Curado, Silvia; Aphinyanaphongs, Yindalon; Abrams, Courtney; Messito, Mary Jo; Gross, Rachel; Katzow, Michelle; Jay, Melanie; Razavian, Narges; Elbel, Brian

PLoS one. 2019 Apr; 14(4):e0215571

Coudray, Nicolas; Ocampo, Paolo Santiago; Sakellaropoulos, Theodore; Narula, Navneet; Snuderl, Matija; Fenyö, David; Moreira, Andre L; Razavian, Narges; Tsirigos, Aristotelis

Nature medicine. 2018 Oct; 24(10):1559-1567

Razavian, Narges; Blecker, Saul; Schmidt, Ann Marie; Smith-McLallen, Aaron; Nigam, Somesh; Sontag, David

Big data. 2015 Dec; 3(4):277-87

Wang, Joshua M; Hong, Runyu; Demicco, Elizabeth G; Tan, Jimin; Lazcano, Rossana; Moreira, Andre L; Li, Yize; Calinawan, Anna; Razavian, Narges; Schraink, Tobias; Gillette, Michael A; Omenn, Gilbert S; An, Eunkyung; Rodriguez, Henry; Tsirigos, Aristotelis; Ruggles, Kelly V; Ding, Li; Robles, Ana I; Mani, D R; Rodland, Karin D; Lazar, Alexander J; Liu, Wenke; Fenyö, David; ,

Cell reports. Medicine. 2023 Sep 19; 4(9):101173

Wei, Hui; Masurkar, Arjun V.; Razavian, Narges

Frontiers in aging neuroscience. 2023 Jan 01; 15:?-?

Liu, Sheng; Masurkar, Arjun V; Rusinek, Henry; Chen, Jingyun; Zhang, Ben; Zhu, Weicheng; Fernandez-Granda, Carlos; Razavian, Narges

Scientific reports. 2022 Oct 17; 12(1):17106