David B. Dahl's research interests are Bayesian nonparametrics, model-based clustering, random partition models, protein structure prediction, bioinformatics, and statistical computing. His work has appeared in journals including the Journal of the American Statistical Association, Annals of Applied Statistics, and Bayesian Analysis. He teaches both undergraduate and graduate classes, including Bayesian statistics, statistical methods, and statistical computing.
Cancer Research
While I have not directly been involved in cancer research, there is a natural place for me to employ my statistical expertise and an enthusiasm for possibilities in the future. I have spent most of my nonstatistical collaborations with biochemists, chemists, and bioinformaticians. I am interested in developing collaborations with cancer researchers.