[1] His research focuses on developing statistical methods for complex and high-dimensional data.
Particular themes of his work include the use of Bayesian hierarchical models, methods for learning latent structure in complex data, and the development of computationally efficient algorithms for uncertainty quantification.
He is currently serving as joint Editor of the Journal of the Royal Statistical Society, Series B. Dunson earned a bachelor's degree in mathematics from Pennsylvania State University in 1994,[1] and completed his Ph.D. in biostatistics in 1997 from Emory University under the supervision of Betz Halloran.
He also held an adjunct faculty position at the University of North Carolina at Chapel Hill from 2001 to 2013.
He became a Fellow of the Institute of Mathematical Statistics in 2010, and in the same year won the COPSS Presidents' Award.