Matthew Churpek

Position title: Associate Professor, Department of Medicine, Pulmonary and Critical Care Faculty


Research Interests

Dr. Churpek’s data science laboratory utilizes electronic health record data and machine learning techniques, such as natural language processing and deep learning, to identify patients at risk for clinical deterioration, sepsis, acute kidney injury, and other syndromes of critical illness. His research has been supported by a K08 from NHLBI, an ATS Foundation Recognition Award for Early Career Investigators, and an R01 from NIGMS.

Lab Website