Dr. Noemie Elhadad obtained her PhD in 2006 from the computer science department at Columbia University. For her doctoral work as part of the natural language processing group led by Prof. Kathy McKeown, she focused on multi-document text summarization of clinical literature. She was on the computer science faculty at The City College of New York and the CUNY graduate center starting in 2006 before joining the Department of Biomedical Informatics at Columbia in the fall of 2007. In 2013, she was named chair of the Health Analytics center, part of the Columbia Data Science Institute.
Dr. Elhadad’s research interests are in natural language processing and data mining, with a particular focus on summarization and discourse-level structuring of information. She investigates ways in which clinical data sets (e.g., patient records) and consumer health data sets (e.g., online health communities) can be processed automatically to enhance access to relevant information for clinicians, patients, and health researchers alike. Her work is funded by the National Science Foundation, the National Library of Medicine, the National Institute for General Medical Sciences, and the National Cancer Institute, as well as the Google Faculty Research Awards program and the Simons Foundation.