Özlem Uzuner, PhD

Ozlem Uzuner is an Associate Professor of Information Sciences and Technology at George Mason University. She is the lead investigator of the National NLP Clinical Challenges (n2c2) which she has been organizing since 2006, first under Informatics for Integrating Biology and the Bedside (i2b2), then under CEGS N-GRID, and now under the Department of Biomedical Informatics (DBMI) of Harvard Medical School jointly with George Mason University. She is a natural language processing (NLP) expert and specializes in methods that process clinical narratives for effective and efficient information access that can support clinical applications. As a part of her NLP efforts, she de-identifies clinical records; as a part of the outreach and education efforts of DBMI and George Mason, enables use of de-identified narrative clinical data for research and course work.