Elizabeth Hunter received a BA in Mathematics and Economics at Boston University in 2011. She worked as a health economics researcher at Research Triangle Institute for three years where she worked on a team that developed the risk adjustment models for the US health insurance exchanges. She attended the University of Limerick and received an MSc in Mathematical Modelling in 2015. She completed a PhD at Technological University Dublin. Her PhD research focuses on agent-based simulations for infectious disease epidemiology with the goal of creating an agent-based simulation of Ireland. Elizabeth is currently working on the Precise4Q as a Postdoctoral researcher working on predictive modelling in stroke.

Postdoctoral researcher at Institute of Economics, Polish Academy of Sciences and in Macroprudential Research Division at National Bank of Poland. She graduated in Mathematics (Jagiellonian University, Poland) and in Economics (University of Alcala, Spain). In 2017 she obtained Fulbright Advanced Research Award. In the United States, she carried out research on systemic risk and complex systems. Her doctoral dissertation was about the measurement and modeling of systemic risk using simulation methods and complex systems approach (the results to be published by Palgrave Macmillan US). Previously, she gained experience on agent-based modeling while working with Juan Luis Santos on the European Commission FP 7 MOSIPS project (http://www.mosips.eu/).

Dr. Gravel-Miguel is currently looking for work. For the past 2.5 years, she worked as a Research Scientist at the New Mexico Consortium, training Machine Learning models to find archaeological sites in lidar-derived imagery. Before that, she worked as a Postdoctoral Research Scholar for the Institute of Human Origins at Arizona State University. She does research in Archaeology and focuses on the Upper Paleolithic of Southwest Europe.

Cristina Montañola Sales is an assistant professor at Institut Químic de Sarrià in Ramon Llull University, where she teaches subjects in ICT and statistics. She holds a PhD in Statistics and Operations Research and specializes in the investigation of novel quantitative methods for studying human behavior, such as agent-based models and spatio-temporal analysis. Her interdisciplinary research combines mathematics with social sciences, biomedicine and High-Performance Computing. She has studied various contexts, such as the dynamics of mobility of Gambian emigrants, demographic forecasting in South Korea, and ecological resilience of hunter-gatherers in India. Her research on tuberculosis transmissions and COVID-19 has advanced knowledge in epidemics, demographic dynamics and computational statistics. She has published articles and participated in international projects on simulation, parallel computing and global health.