Tom Goode is a statistical analyst at the RAND Corporation focusing on homeland and national security policies related to acquisition, counterterrorism, logistics and operations, intelligence, and cybersecurity. He has experience and interest in applying a wide variety of statistical and machine learning methodologies to inform complex national security policy decisions. His work supports a variety of clients including the Office of the Secretary of Defense, the United States Navy, the United States Air Force, members of the Intelligence Community, the Department of Homeland Security and its component agencies, and the Department of Health and Human Services.
While earning his bachelor's and master's degrees in statistics at Carnegie Mellon University, Tom conducted research at the intersection of statistics, prehospital medicine, and emergency medical operations in conjunction with the Univeristy 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 academic EMS research and is an active emergency medical technician in the greater Pittsburgh area.
- Matching Supply and Demand: U.S. Air Force and Global Force Management
- Improving Partner Nation Support for Medical Operations in Contested Environments
- Analysis in Support of the Development of a Counter UAS Implementation Framework
- Immigration Data Integration Initiative Study
- Medicare Ambulance Services Special Analysis