In this talk, I describe current work in the University of Iowa Computational Epidemiology group (https://compepi.cs.uiowa.edu/), where our research involves the use of computational tools to simulate, visualize and, in general, better understand the spread of disease. Our goal is to inform public and hospital policy decisions with respect to disease surveillance, disease prevention measures, an outbreak containment.
Alberto Maria Segre is Professor and Chair of the Computer Science Department and Gerald P. Weeg Faculty Scholar in Informatics at the University of Iowa. He holds a B.A. in Music Theory and a B.S., M.S. and Ph.D. in Electrical Engineering, all from the University of Illinois at Urbana-Champaign. His research interests focus on distributed algorithms for discrete optimization problems, with emphasis on algorithmic problems in the biological and health sciences. Most recently, his work has focused on epidemiological simulation and modeling.