Dr Andrea Medaglia

I'm a Computational Scientist in the Computing Division Department of the UK Atomic Energy Authority, and a Stipendiary Lecturer in Applied Mathematics at Lady Margaret Hall, University of Oxford.

Previously, I've been a Postdoctoral Research Associate at the Mathematical Institute of the University of Oxford, in the group of Professor José Antonio Carrillo, and a Post-Doctoral Fellow at the Department of Mathematics “F. Casorati” of the University of Pavia, where I also earned my doctorate in Computational Mathematics and Decision Sciences under the supervision of Professor Mattia Zanella.

My research is devoted to the numerical analysis and simulation of kinetic equations and multiagent systems in presence of random parameters. In particular, I work on the Landau and the Boltzmann-type equations for plasma, rarefied gas dynamics, and ordered fluids with uncertainties. I am also interested in the mathematical modelling and control of agent-based models with applications in life sciences.

J.A. Carrillo, P.E. Farrell, A. Medaglia, and U. Zerbinati, A Kinetic Theory Approach to Ordered Fluids. Preprint arXiv, 2025.

R. Bailo, J.A. Carrillo, A. Medaglia, and M. Zanella, Uncertainty Quantification for the Homogeneous Landau-Fokker-Planck Equation via Deterministic Particle Galerkin methods. Multiscale Modeling and Simulation, 23(2), 2025.

A. Medaglia, L. Pareschi, and M. Zanella, Particle simulation methods for the Landau-Fokker-Planck equation with uncertain data.  Journal of Computational Physics, 503 (2024), 112845.

J. Franceschi, A. Medaglia, and M. Zanella, On the optimal control of kinetic epidemic models with uncertain social features, Optimal Control Applications and Methods, 1-29 (2023). 

A. Medaglia, L. Pareschi, and M. Zanella, Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties. Journal of Computational Physics, 479 (2023), 112011.