Key Faculty and Specific Research Interests
Thomas C. Bailey, MD
Professor of Medicine
- Phone: 314-454-8354
- Fax: 314-454-5392
- Email: tbailey@wustl.edu
Research Interest: Information technology to improve healthcare quality.
Jason P. Burnham, MD
Assistant Professor of Medicine
- Email: burnham@wustl.edu
Dr. Burnham specializes in clinical research and implementation science, with a special focus on telemedicine, multidrug resistant organisms, and climate change.
Anne Mobley Butler, PhD, MS
Associate Professor of Medicine
- Phone: 314-454-8354
- Email: anne.butler@wustl.edu
Dr. Butler’s research interest is applying epidemiologic methods to clinical and claims data to study the prevention and treatment of common infections.
William Dunagan, MD, MS
Professor of Medicine
- Phone: 314-454-8215
- Fax: 314-454-5392
- Email: cdunagan@bjc.org
Dr. Dunagan’s primary research focus is in the assessment and improvement of healthcare quality, with a particular emphasis on patient safety research, medical informatics and infection prevention.
Kevin Hsueh, MD
Associate Professor of Medicine
- Phone: 314-454-8224
- Fax: 314-454-5392
- Email: khsueh@wustl.edu
Dr. Hsueh specializes in Antimicrobial Stewardship and Infection Prevention, with special focus on practical design and implementation of healthcare quality and safety improvement interventions.
Madeline McCrary, MD
Assistant Professor of Medicine (Sept 2023)
- Email: mccrary@wustl.edu
Dr. McCrary specializes in clinical infectious diseases and addiction medicine with a special focus on the infectious complications of substance use, such as Hepatitis C and Serratia endocarditis, and related quality improvement initiatives.
Nongnooch Poowanawittayakom, MD
Assistant Professor of Medicine
- Email: nongnooch@wustl.edu
Dr. Poowanawittayakom interests are in bone and joint infection, infection prevention/control, hepatitis C, emerging infectious diseases, and global health.
Bruce A. Rosa, PhD
Associate Professor of Medicine
- Phone: 314-273-5550
- Email: barosa@wustl.edu
Dr. Rosa’s experience in the statistical analysis of complex datasets (utilizing multiple types of evidence spanning treatments or species) has led to the identification differentially expressed genes, drug targets and pathways of interest for experimental verification.