Speaker

Alberto Segre

Abstract

I became interested in Epidemiology in about 2006 after a fortuitous encounter with Phil Polgreen, then a young Infectious Diseases (ID) fellow at UIHC. Thus began a fruitful multi-year collaboration, which led to the formation of CompEpi, an interdisciplinary research group working on problems at the intersection of computation, technology, medicine and wellness.

In this retrospective talk, I'll describe some of what I think are the fascinating computational problems encountered along the way.

Bio

Alberto Maria Segre is Professor and Chair of the University of Iowa Computer Science Department, where he is also the Gerard P. Weeg Faculty Scholar in Informatics. He is co-founder (with Professor Philip Polgreen from Internal Medicine) of the Computational Epidemiology Research Group (CompEpi), a multidisciplinary (computer science, medicine, epidemiology, economics, and biostatistics) research group focused on hospital-scale network epidemiology, and co-director (again with Professor Polgreen) of the University's NIH-funded CTSA's Mobile Health Data Acquisition Core facility. Professor Segre holds secondary appointments in the Program in Applied Mathematical and Computational Sciences and the Interdisciplinary Genetics Program. He received a BA in Music Theory and a BS, MS and PhD in Electrical Engineering, all from the University of Illinois at Urbana-Champaign. Prior to joining the University of Iowa faculty in 1994, he served as an Assistant Professor at Cornell University. 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.