Pete Schirmer is a senior management scientist at the RAND Corporation. From 2012 to 2017 he served as RAND's director for Emerging Policy Research and Methods and has previously held other management positions at RAND. His research focuses on simulation, modeling, and machine learning to increase military readiness and support the management of military manpower, personnel, and force structure. His RAND publications include Developing an Army Enterprise Data Science Capability and Realigning the Stars: A Methodology for Reviewing Active Component General and Flag Officer Requirements. He earned his M.P.P. from the University of Michigan and his M.B.A. from Georgetown University.
Zev Winkelman et al., Developing an Army Enterprise Data Science Capability, RAND, 2018 (forthcoming)
Lisa Harrington, et al., Realigning the Stars: A Methodology for Reviewing Active Component General and Flag Officer Requirements., RAND, 2018 (forthcoming)
Peter Schirmer, et al., Leader Development in Army Units: Views from the Field, RAND (MG-648-A), 2008
Peter Schirmer, et al., Challenging Time in DOPMA: Flexible and Contemporary Military Officer Management, RAND (MG-451), 2006