Matthew H. Samore, MD, Endowed Chair

Chief, Division of Epidemiology
Campus Phone: (801) 585-1232

Email: matthew.samore@hsc.utah.edu

Dr. Samore is the Chief of the Division of Epidemiology within the Department of Internal Medicine and the Director of the Informatics, Decision Enhancement, and MSamoreAnalytic Sciences (IDEAS) Center at the Salt Lake City VA. He has adjunct appointments in the Department of Biomedical Informatics and the Department of Family and Preventive Medicine. Dr. Samore has dedicated himself to advancing the University of Utah’s stature in epidemiology, health services research, biostatistics, and informatics. From its inception in 2001, the Division of Epidemiology has grown from its original size of one member to 24 faculty members.  The Division of Epidemiology consistently ranks among the top divisions within the Department of Internal Medicine for research funding.

Dr. Samore works across disciplines in ways that foster innovation. His research is highly collaborative, as reflected in his success in procuring Center and Program Project grants, such as the CDC-funded Center of Excellence in Public Health Informatics and the VA Consortium for Healthcare Informatics. He is the Principal Investigator of a new Program Project, funded under the VA’s Collaborative Research to Enhance and Advance Transformation and Excellence (CREATE) initiative. The IDEAS Center engages multiple departments and institutes at the University of Utah, including Biomedical Informatics, Surgery, Radiology, Internal Medicine, Orthopedics, Psychology, Biology, Human Genetics, College of Nursing, College of Pharmacy, Scientific Computing and Imaging Institute, and Huntsman Cancer Institute.

Dr. Samore’s research focuses on the interface between epidemiology and informatics. He develops and tests novel approaches to decision support, leading to new frontiers in visual analytics, population surveillance, and simulation models. He pushes the envelope on the application of state-of-the-art epidemiological methods to develop evidence about interventions to control healthcare-associated infection and antibiotic resistance. He has championed the use of Big Data to transform approaches to monitoring and improving the health of populations.