Lionel Galway is a adjunct senior statistician at RAND. He received his Ph.D. in statistics at Carnegie Mellon University in 1987, where he also was responsible for statistics department computing facilities and had held positions developing software for computer science instruction. At RAND his interests have included data analysis of complex data and statistical graphics, applied to problems in a variety of areas including data quality, arms control, worker's compensation, education, the environment, military modeling, and mass transit. Galway has led or co-led projects in military logistics, transit maintenance operations, and inventory policy and has worked on numerous other projects across RAND divisions providing statistical expertise.
During his career he also provided short-term statistical consulting across the corporation, and was active in experiments and committees shaping the RAND computing environment and the RAND library. He has taught courses in basic statistics and statistical modeling at the Pardee RAND Graduate School, where he won the Huddleson Award for Professor in a Core Class in 2006.
Ph.D. in statistics, Carnegie Mellon University
