Steven A. Sumner, MD, MSc
Senior Advisor for Data Science and Innovation
Areas of Expertise
- Data science for injury prevention
- Applied machine learning
- Applications of large datasets for health
Dr. Steven Sumner, MD, MSc, serves as senior advisor for Data Science and Innovation in CDC’s National Center for Injury Prevention and Control. There he coordinates, supports, and oversees data science initiatives in priority public health areas of drug overdose, suicide/mental health, and violence and injury prevention. Dr. Sumner conducts and manages applied research using machine learning, natural language processing, and other technologies to improve the timeliness of CDC’s information on injury trends and to increase the speed and impact of prevention programs. Recent work has focused on disease forecasting using machine learning models, early detection of emerging health threats, natural language processing of electronic health records, and use of novel methodologies to enhance outbreak response.
Dr. Sumner completed medical school at the Medical College of Wisconsin and an internal medicine residency at Duke University. Dr. Sumner also holds a Master of Science degree from Duke University and has completed research fellowships with CDC’s Epidemic Intelligence Service and through the National Institutes of Health Fogarty International Center. Dr. Sumner is a commander in the U.S. Public Health Service.