Randy is the Chief Data Scientist for Mission Metrics. He is a leading expert in applied statistics and data science. A political science professor at Rice University, Randy works and teaches in the areas of survey design, applied statistical methods, comparative mass political behavior, comparative political psychology, and experimental design. His 2008 book, The Economic Vote: How Political and Economic Institutions Condition Election Results (published by Cambridge) won the Gregory M. Luebbert Award for the best book published in Comparative Politics. His numerous publications have appeared in the American Political Science Review, the American Journal of Political Science, the Journal of Politics, the British Journal of Political Science, Political Analysis, and many other leading social science journals. His articles have won several awards from scholarly associations. He has served as associate editor of the American Journal of Political Science, been the Principal Investigator on eight grants from the National Science Foundation, and is member of the governing board of the American National Election Study – a biennial, government-funded, survey of American electoral behavior that has long been the “gold-standard” for national electoral surveys.
Randy has taught advanced statistical methods at Rice University for over two decades, graduate-level lectures in applied statistics at Oxford University, advanced statistical methods at the prestigious Essex Summer School in Social Science Data Analysis, and advanced statistical methods at the IPSA-NUS Summer School for Social Science Research Methods at the National University of Singapore. He has provided statistical analysis and advice for numerous government agencies including the Attorney General of Texas, Harris County Texas, School Boards across Texas, and municipal Governments in Washington state, Montana, and Texas.
Randy received his Ph.D and M.A. in Political Science at the University of Rochester, and his B.A. in Political Science at Texas A&M University.