Internal medicine; infectious disease dynamics and response; analysis of health-care processes and emergency response logistics; translational modeling; process mining and discrete event simulation
Current Research Interest
Translating COVID-19 modeling into policy; clinical and health system preparedness for natural and intentional public health emergencies; computer modeling of mass antibiotic dispensing and hospital surge capacity
Fellow of the American College of Physicians
National Academies of Sciences, Engineering, and Medicine, Permanent Member
Committee on Evidence-Based Practices for Public Health Emergency Preparedness and Response
National Institutes of Health Modeling of Infectious Disease Agent Study (MIDAS), Scientific Advisory Board Member
Silverman, Justin D., Nathaniel Hupert, and Alex D. Washburne. “Using Influenza Surveillance Networks to Estimate State-Specific Prevalence of SARS-CoV-2 in the United States.” Science Translational Medicine 12, no. 554 (July 29, 2020): eabc1126.
Klein, Michael G., Carolynn J. Cheng, Evonne Lii, Keying Mao, Hamza Mesbahi, Tianjie Zhu, John A. Muckstadt, and Nathaniel Hupert. “COVID-19 Models for Hospital Surge Capacity Planning: A Systematic Review.” Disaster Medicine and Public Health Preparedness (September 10, 2020): 1–8.