Tom Goode is a statistical analyst at the RAND Corporation focusing on public safety, homeland security, and national security policy. He has experience and interest in leading quantitative analyses by applying statistical and machine learning methods to inform complex decisions on a broad range of policy topics. His work also includes project management roles and primarily supports sponsors within the Department of Defense, Department of Homeland Security, and the Intelligence Community.
While earning his bachelor's and master's degrees in statistics at Carnegie Mellon University, Goode conducted research at the intersection of statistics, prehospital medicine, and emergency medical operations in conjunction with the University of Pittsburgh and the City of Pittsburgh Bureau of EMS. Prior to CMU, he contributed to astrophysics research at the Kavli Institute for Astrophysics and Space Research at MIT. Currently, he continues to support and mentor academic EMS researchers and is an active emergency medical technician in the greater Pittsburgh area.