Dawn Woodard received her B.S. from Stanford University, Palo Alto, CA, in 2001 and her Ph.D. in statistics from Duke University, Durham, NC, in 2007. She joined Cornell University in 2008, where she is currently an Assistant Professor of Operations Research and Information Engineering. The focus of her research is on Bayesian statistics, both methodology and applications, and on the convergence rates of Markov chain methods. She has authored or coauthored 10 refereed publications and 6 submitted publications in statistics, applied probability, and computer systems journals, peer-reviewed conferences, and books.
- Woodard, Dawn B., J S Rosenthal. 2012. "Convergence rate of Markov chain methods for genomic motif discovery." Annals of Statistics .
- Woodard, Dawn B., C. Crainiceanu, D Ruppert. 2012. "Hierarchical adaptive regression kernels for regression with functional predictors." Journal of Computational and Graphical Statistics .
- Westgate, B S., Dawn B. Woodard, D S. Matteson, S G Henderson. 2012. "Travel time estimation for ambulances using Bayesian data augmentation." Annals of Applied Statistics .
- Woodard, Dawn B., T.M. T. Love, S. W. Thurston, D. Ruppert, S. Sathyanarayana, S. H Swan. 2012. "Latent factor regression models for grouped outcomes." Biometrics .
- Woodard, Dawn B., D S. Matteson, S G Henderson. 2011. "Stationarity of Generalized Autoregressive Moving Average Models." Electronic Journal of Statistics (5): 800-828.