Dean of the Graduate School of Arts and Sciences and Whipple V. N. Jones Professor of Statistics, Harvard University

Plenary Speaker

Statistical inference with partially observed data, pre-processed data, and simulated data; quantifying statistical information and efficiency in scientific studies, particularly for genetic and environmental problems; statistical principles and foundational issues, such as multi-party inferences, the theory of ignorance, and the interplay between Bayesian and frequentist perspectives; effective deterministic and stochastic algorithms for Bayesian and likelihood computation; Markov chain Monte Carlo, especially perfect sampling; Bayesian inference, ranking and mapping; multi-resolution modeling for signal and image data; Statistical issues in astronomy and astrophysics; modeling and imputation in health and medical studies; and elegant mathematical statistics.