Biography

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.

Recent Publications

Jan 2024
Paper
Population synthesis as scenario generation for simulation-based planning under uncertainty
Joel Dyer ,  Arnau Quera-Bofarull ,  Nicholas Bishop ,  J. Doyne Farmer ,  Anisoara Calinescu ,  Michael Wooldridge
Nov 2023
Journal
Gradient-assisted calibration for financial agent-based models
in Proceedings of the Fourth ACM International Conference on AI in Finance (ICAIF '23)
Joel Dyer ,  Arnau Quera-Bofarull ,  Ayush Chopra ,  J. Doyne Farmer ,  Anisoara Calinescu ,  Michael Wooldridge
Oct 2023
Journal
Black-box inference for differentiable simulators
in Journal of Open Source Software
Arnau Quera-Bofarull ,  Joel Dyer ,  Anisoara Calinescu ,  J. Doyne Farmer ,  Michael Wooldridge
May 2023
Paper
Bayesian calibration of differentiable agent-based models
Arnau Quera-Bofarull ,  Ayush Chopra ,  Anisoara Calinescu ,  Michael Wooldridge ,  Joel Dyer

Programme Teams