Data Science Day @ Columbia University has ended
Columbia University’s Data Science Institute Presents:

Authors/Collaborators are listed in alphabetical order.

avatar for Noemie Elhadad

Noemie Elhadad

College of Physicians and Surgeons
Associate Professor of Biomedical Informatics

Prof. Elhadad's research is in biomedical informatics, natural language processing, and data mining. She develops techniques that aim to support clinicians, patients, and health researchers in their information workflow by automatically extracting and making accessible information from unstructured, large clinical datasets (e.g., the electronic patient record) and patient platforms (e.g., online health communities). 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 (e.g., a patient record summarization system for clinicians at the point of care).