Carnegie Mellon University

2019 Doherty Award Recipient

greenhouse_400x400.jpgJoel Greenhouse

Professor of Statistics, Department of Statistics and Data Science

Joel B. Greenhouse Ph.D., is professor of statistics at Carnegie Mellon University and adjunct professor of psychiatry and epidemiology at the University of Pittsburgh. He is an elected fellow of the American Statistical Association, the American Association for the Advancement of Science and an elected member of the International Statistical Institute. 

Greenhouse is a recipient of Carnegie Mellon University's Ryan Teaching Award and the College of Humanities and Social Sciences' E. Dunlap Smith Award for distinguished teaching and educational service. He was associate dean for Academic Affairs in CMU's College of Humanities and Social Sciences (1997-2002) and vice-chair of CMU's Faculty Senate (2015-2016). 

Greenhouse established the statistics undergraduate program in the Dietrich College and was a contributor to the seminal Open Learning Initiative course in statistics.  As Associate Dean, Greenhouse helped found the Science and Humanities Scholars program, helped establish the Information Systems program and helped design the addition to Baker Hall including all the educational spaces.  Along with Howard Seltman, Greenhouse hosted and co-directed the CMU site for Project IMHOTEP, an eleven-week summer undergraduate internship program designed to increase the knowledge and skills of underrepresented minority students in biostatistics and epidemiology.  Greenhouse and Seltman also started the master of statistical practice program which is celebrating its 10th year with over 200 alumni. 

Greenhouse has served on several National Academy of Sciences' committees, including the Committee on National Statistics, the Panel on Combining Information (Gaver et al., 1992, NAS Press) and the Institute of Medicine's Committee on the Assessment of Family Violence Interventions. He co-chaired the Panel Study on the Review of the Compliance, Safety and Accountability Program of the Federal Motor Carrier Safety Administration (NAS Press, 2017).
 
He is an editor-in-chief of the journal Statistics in Medicine and is the past editor of the Institute of Mathematical Statistics' Lecture Notes and Monograph Series. His research interests include applications of Bayesian methods in practice and issues related to the use of research synthesis in practice, especially as it is used to synthesize evidence for making policy and for scientific discovery.