Sean Mann is a senior policy analyst at RAND. Specializing in machine learning and mixed methods research, he has led quantitative research design and analysis for high profile defense and health studies, including congressionally-mandated global reviews of senior military personnel requirements and of the federally-funded health services research portfolio. His methodological expertise spans both quantitative and qualitative skills, including machine learning, natural language processing, remote sensing/GIS, and network analysis as well as systematic literature reviews, survey design, and semi-structured interviews. Mann holds a Master of Science in Foreign Service from Georgetown University with a concentration in International Relations and Security, as well as a B.A. in anthropology with a minor in earth sciences from Dartmouth College. His self-guided study of computer programming began at the age of ten and continues to this day.
B.A. in anthropology, Dartmouth College; M.S. in foreign service, Georgetown University
