Dr. Samuel Scarpino
University of Vermont, USA
Samuel Scarpino is a biologist and an Assistant Professor of Mathematics & Statistics at the University of Vermont. His research focuses on understanding disease as an emergent process and improving public health surveillance. His group, the Emergent Epidemics Lab, approaches these topics by investigating questions at the intersection of biology, behavior, and disease.
Through collaboration with laboratory, field, and public health researchers, the mathematical and computational models the group develops are interrogated with novel experiments, evaluated on new data sources, and applied to public health problems. The group's surveillance research, for example, is done in close association with state, national, and international public health agencies and has led to substantive changes in surveillance practices. This type of collaboration between scientists and public health decision makers is critical for efficient, effective outbreak preparedness and response.
The group's research has also focused on a broad range of topics, including animal movement and group dynamics; traffic routing; the effects of environmental toxins on behavior and neural biology; and models of spatiotemporal variation in tree density and fruiting phenology.
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.