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Narges Razavian, PhD

Assistant Professor, Department of Population Health

Assistant Professor, Department of Radiology

Keywords
Machine Learning, Artificial Intelligence, Predictive Analytics, Biomarker Discovery
Summary

My lab's research is focused on intersection of machine learning and artificial intelligence, and medicine. Using millions of records in Electronic Health Records database on NYU Langone, as well as hundreds of thousands of imaging and millions of Genomics data, we focus on a number of important topics including but not limited to: Prediction of upcoming preventable conditions/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, Discovering biomarkers and factors that associate with important outcomes, etc. My lab mainly focuses on conditions for which we have tens to hundreds of thousands of cases in the NYU Langone databases. 

I am an assistant professor (of research) in Center for Healthcare Innovation and Delivery Science (CHIDS), and a member of Predictive Analytics Unit.

Phone

212-263-2234

Academic office

227 East 30th Street

7th Floor, Room 729

New York City, NY 10016

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Assistant Professor, Department of Population Health

Assistant Professor, Department of Radiology

PhD from Carnegie Mellon University

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

Multi-task Prediction of Disease Onsets from Longitudinal Laboratory Tests . Opens in a new tab

Razavian, Narges; Marcus, Jake; Sontag, David

JMLR workshop & conference proceedings. 2016; 56:73-100

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

Big data. 2015 Dec; 3(4):277-287

Razavian, Narges; Sontag, David

arXiv. (Cornell University Library), 2015. 2015; https://arxiv.org/abs/1511.07938 (2706972)

Razavian, Narges Sharif; Kamisetty, Hetunandan; Langmead, Christopher J

BMC genomics. 2012; 13 Suppl 1:S5-S5

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

Nature medicine. 2018 Oct 19; 24(10):1559-1567

Lotan, Eyal; Jain, Rajan; Razavian, Narges; Fatterpekar, Girish M; Lui, Yvonne W

AJR. American journal of roentgenology. 2018 Oct 17; 1-12

Classification and Mutation Prediction from Non-Small Cell Lung Cancer Histopathology Images Using Deep Learning [Meeting Abstract] . Opens in a new tab

Ocampo, P; Moreira, A; Coudray, N; Sakellaropoulos, T; Narula, N; Snuderl, M; Fenyo, D; Razavian, N; Tsirigos, A

Journal of thoracic oncology. 2018 October; Conference:(IASLC):S562