Mickey leads research and development at SSRS. He has worked with high-profile clients including CNN and UCLA to transition large-scale, high-profile data collections to new methodologies. His focus includes the SSRS Encipher Hybrid methodology for blending probability and nonprobability samples, and applying advanced predictive modeling to improve the efficiency of large-scale data collections. Mickey is an active member of the American Association for Public Opinion Research. He has published multiple peer-reviewed journal articles and is a frequent presenter at methodological conferences. He holds a master’s degree from Carnegie Mellon University and a bachelor’s degree from The Catholic University of America.
4662 Slater Road
Eagan, MN 55122
(651) 379-6200
