**Jorge Carlos Román, **Ph.D. (University of Florida, 2012) Dr. Román is a statistician and his main areas of research are Bayesian statistics and Markov chain Monte Carlo (MCMC) algorithms.MCMC algorithms are often used to estimate intractable quantities associated with complex probability distributions (e.g., posterior expectations in Bayesian statistical models). Dr. Román studies the performance of MCMC procedures and the convergence properties of Markov chains for commonly used Bayesian statistical models. One of the main goals of his research is to provide MCMC users with a simple sufficient condition under which the MCMC procedure is honest; that is, there is at least one valid measure of the quality of estimation and a coherent strategy for deciding when to stop the simulation.

**Antoni Luque**, Ph.D. (Universitat de Barcelona, 2011). Dr. Luque is a physicist specialized in mathematical biology. His research spans the areas of theoretical and computational biophysics and has focused on the study of viruses and chromatin fibers. He has investigated these systems by combining condensed matter physics, applied mathematics, and computational biology in collaboration with experimentalists. Dr. Luque’s research has been previously conducted in the Universitat de Barcelona, University of California, Los Angeles, and New York University. At SDSU, he is part of the Area of Excellence in viromics. As a member of the Viral Information Institute, the Luque Lab aspires to develop multiscale mathematical models that investigate how changes in the structural properties of viruses impact viral ecology.