Assistant Professor of Statistical Science
My research develops principled and computationally efficient methods for statistical inference in adaptive and complex settings. I work on sampling algorithms for Bayesian inference, including Markov chain Monte Carlo and variational inference, and statistical methodology that enables valid uncertainty quantification following adaptive data exploration and model selection.