Postdoctoral Researcher, Department of Computer Science, University of Oxford
Arnau is a postdoctoral researcher at the Department of Computer Science of the University of Oxford. His research focuses on leveraging machine learning techniques to improve the methodology of agent-based modeling (ABMing), particularly in the fields of calibration and verification. By doing so, Arnau aims to modernize ABMing practices, enabling the simulation of large-scale systems, such as macro-economic and epidemiological systems.
Prior to starting his postdoctoral position, Arnau obtained a PhD in Computational Astrophysics from the University of Durham. His interest in Artificial Intelligence lead him to carry internships at Ibex Innovations, Boeing Digital Aviation, and the NHS. He previously obtained a MSc in Theoretical Physics at the University of Heidelberg as well as two BSc in Mathematics and Physics from the University of Barcelona.
Black-box inference for differentiable simulators
04 Oct 23
BlackBIRDS is a Python package consisting of generically applicable, black-box inference methods for...