Location
339 Malone Hall
Research Areas Artificial intelligence Machine learning Natural language processing Health informatics

Mark Dredze is a John C. Malone Professor of Computer Science, the interim deputy director of the Data Science and AI Institute, and the associate head of research and strategic initiatives for the Department of Computer Science at the Johns Hopkins University. He develops artificial intelligence systems based on natural language processing and explores their applications to public health and medicine.

His research centers around statistical models of language with applications to social media analysis, public health, and clinical informatics. Within natural language processing he focuses on statistical methods for information extraction, but has considered a wide range of NLP tasks, including syntax, semantics, sentiment, and spoken language processing. Dredze’s work in public health addresses the areas of tobacco control, vaccinations, infectious disease surveillance, mental health, drug use, and gun violence prevention. He also develops new methods for clinical NLP on medical records.

Dredze is affiliated with multiple Johns Hopkins institutions, among them the Malone Center for Engineering in Healthcare and the Center for Language and Speech Processing; he also holds a joint appointment in the School of Medicine’s Biomedical Informatics & Data Science Section in the Department of Medicine within the Division of General Internal Medicine.

Beyond publications in core areas of computer science, Dredze has pioneered new applications in public health informatics. He has published widely in health journals, including the Journal of the American Medical Association, the American Journal of Preventive Medicine, Vaccine, and the Journal of the American Medical Informatics Association. His work is regularly covered by major media outlets, including NPR, The New York Times, and CNN.

He obtained his PhD from the University of Pennsylvania in 2009.