The American Statistical Association grants the prestigious Fellow Award to Dr. David Dahl
This year, at the 2025 Joint Statistical Meeting, Dr. David B. Dahl was granted the ASA Fellow Award for groundbreaking work in random partition models and Bayesian nonparametic modeling, substantive contributions to statistical computing, new statistical methods in computational biology, and service to the profession.
"The designation of ASA Fellow has been a significant honor for nearly 100 years. Under ASA bylaws, the Committee on Fellows can elect up to one-third of one percent of the total association membership as fellows each year." To be selected, nominees must have made outstanding contributions to the field of statistics and have had an exceptional impact within the statistical community.
Receiving this award signifies that Dr. Dahl has been recognized as an ASA member with an established reputation who has made significant achievements in statistical work. Congratulations on this extraordinary accomplishment Dr. Dahl!
Dr. David B. Dahl is currently Professor and Chair of the Department of Statistics at Brigham Young University. He started his academic career at Texas A&M University as an Assistant Professor in 2004, was promoted to an Associate Professor in 2010, and moved to BYU in 2012. He was promoted to Professor at BYU in 2015. He did doctoral work at the University of Wisconsin-Madison in the Department of Statistics and the Department of Biostatistics and Medical Informatics under the direction of Michael Newton, receiving his Ph.D. in 2004. He received B.S. and M.S. degrees from Brigham Young University in 1997 and 1998, working on his masters with Dr. Scott Grimshaw in the Department of Statistics. During 2007-2012, Dr. Dahl was also an adjunct faculty member in the Division of Quantitative Sciences at the University of Texas, M.D. Anderson Cancer Center.
Dr. David B. Dahl's research interests are random partition models, model-based clustering, Bayesian nonparametrics, statistical computing, and bioinformatics. His work has appeared in journals including the Journal of the American Statistical Association, Annals of Applied Statistics, Journal of Computational and Graphical Statistics, and Bayesian Analysis. He teaches both undergraduate and graduate classes, including Bayesian statistics, statistical methods, and statistical computing.
For more information about the 2025 ASA Fellow Awardees:
https://www.amstat.org/news-listing/2025/04/21/asa-recognizes-2025-founders-and-fellows