Author: Noémie Elhadad

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Biography:

Noémie Elhadad is an Associate Professor in Biomedical Informatics at Columbia University and the Chair of the Health Analytics Center, part of the Columbia Data Science Institute. She holds a PhD in computer science. Her research is at the intersection of data science and health. She develops techniques to support clinicians, patients, and health researchers in their information workflow by automatically extracting and making accessible information from unstructured, large clinical data sets (eg, the electronic patient record), patient platforms (eg, online health communities), and patient-generated data (eg, quantified self and tracked data). Her research relies on two types of methods: (1) she designs novel computational approaches that infer models of health phenomena and account for the specific biases of large health data; (2) she translates the learned models into actionable knowledge and robust systems within the healthcare ecosystem (eg, a patient record summarization system for clinicians at the point of care).

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