I lead the EPNet's computational modeling group.
After obtaining a combined BSc and MSc in Computer Science at the University Pompeu Fabra, I pursued my doctoral research in University of Barcelona. Here, I applied my computational background to develop cutting-edge GIS methods for historical archaeology. My thesis explored how landscape affected XVIIIth century battles by integrating archaeological evidence, spatial analysis and written sources.
Before joining the School in 2016 I worked as the Team Leader of the Humanities research group at the Barcelona Supercomputing Centre (2009-2016). I participated in several interdisciplinary projects applying computational methods to improve our understanding of the past, such as SimulPast and EpNet.
My current research explores how cultural change dynamics might often explain the patterns identified in the archaeological record and written sources. I investigate this topic by applying innovative quantitative frameworks to a variety of topics such as the neolithic transition, the evolution of warfare and settlement dynamics.
To achieve these goals I am also engaged on archaeological method and theory. My contributions include the development of simulations to improve archaeological fieldwork, the application of High-Performance Computing to Model-Based Archaeology or the creation of a machine-learning framework to compare models and historical evidence.