Dr. Prasith “Sid” Baccam is a Computational Epidemiologist expert at IEM with more than 20 years of experience in medical consequence modeling and simulation of disease outbreaks and medical consequences following hypothetical attacks with biological agents or emerging infectious diseases. He develops key simulation models and decision support tools at IEM, specializing in public health, disaster response, and medical countermeasures (MCM) to enhance data-driven decision making and improve modeling assumptions.

Upon receiving his Ph.D. in Applied Mathematics and Immunobiology at Iowa State University, Dr. Baccam worked as a Postdoctoral Research Associate at Los Alamos National Laboratory where he focused on researching viral and immunological modeling. After his stint at Los Alamos, Dr. Baccam has served as Task Lead in multiple public health projects have allowed him to develop expertise as a mathematical biologist and a leader on high-performance modeling and simulation teams. He effectively applies his knowledge to deliver meaningful results and solve complex challenges.

He has worked with state and local public health officials as well as Federal agencies, including the U.S. Department of Health and Human Services (HHS), the Centers for Disease Control and Prevention (CDC), and the Department of Homeland Security (DHS). Dr. Baccam has published numerous papers on public health response models and implications on policy and has been invited to participate in workshops and symposiums held by the Institute of Medicine (now the National Academy of Health). His modeling results have been briefed to the Executive Office of the President.