Narges Sharif Razavian, PhD

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.