Dr. Leman is an Associate Professor at Virginia Tech in the Department of Statistics. He received his Ph.D. from Duke University at the Department of Statistical Science. Previous to that, he earned a MS degree in Computational from Stanford University.
His core research interests include Bayesian statistics on both a theoretical and inferential level, MCMC mixing theory, Data Augmentation for efficient simulation, and large-scale stochastic modeling. Additionally, he has a strong interest in visualization techniques, which involve Human-Computer-Interaction. More specifically, given visual displays, he is interested in how users can inject feedback, so that resulting displays are a merger between the data, visualization model, and the user’s cognitive insights. Such methods prove to be exceedingly useful in exploring relevant information in very high-dimensional spaces.