Dr. Samuel Scarpino
University of Vermont, USA
Samuel V. Scarpino is a complex systems scientist investigating questions at the intersection of network science and human behavior. His work spans a broad range of topics, including: infectious disease modeling, forecasting in complex systems, genetic topology of disease, and decision making under uncertainty.
Sam's publications on Ebola, whooping cough, and influenza have been covered by the New York Times, NPR, the Economist, Smithsonian Magazine, and numerous other venues. Sam is currently an Assistant Professor of Mathematics & Statistics and is a core faculty member in the Complex Systems Center at the University of Vermont.
He earned a Ph.D. in integrative biology from The University of Texas at Austin in 2013 was a Santa Fe Institute Omidyar Postdoctoral Fellow from 2013 - 2016. For a current CV and complete list of publications, please see scarpino.github.io
Dr. Marco Ajelli
Northeastern University, USA & Bruno Kessler Foundation, Italy
Dr. Marco Ajelli was born on Nov. 28, 1982 in Trento, Italy. He received both B.S. and M.Sc. degrees in Mathematics, and the Ph.D. in Information and Communication Technology from the University of Trento, in 2004, 2006, and 2009, respectively. He currently holds an Associate Research Scientist at the Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA, USA, while on leave from a tenured Senior Research Scientist position at the Bruno Kessler Foundation, Trento, Italy.
Since 2008 Dr. Ajelli have authored 45 peer-reviewed research contributions, including top journals (such as The Lancet Infectious Diseases, BMC Medicine, Proceedings of the Royal Society B: Biological Sciences, American Journal of Epidemiology, PLOS Computational Biology) in several research areas (e.g., medicine, epidemiology, public health, computer science, applied mathematics, biology). According to Google Scholar, his works have attracted 1000+ citations in the last five years, for an h-index of 20.
In his research Dr. Ajelli uses computational modeling, in conjunction with statistical data analysis, in order to provide a quantitative framework for understanding epidemiological factors and population processes shaping infectious diseases spread. The goal of his research is to advance the state of the art of infectious diseases modeling for public health decision-making and, by means of that, to positively impact on the health of the population.