I’m starting a postdoctoral position at TU/e on the 1st of October 2026, at CASA and the Department of Mathematics and Computer Science. I’m being funded as a Marie Curie Postdoctoral Fellow, with the core of my project consisting of developing and implementing new numerical linear algebra algorithms for accelerating the action of a matrix function on a vector. This line of research finds use in many scientific computing applications, but in this postdoctoral position I’ll be focusing on accelerating core computations in the GW method of Many Body Perturbation Theory, to be done in collaboration with the Baumeier Group.

My background, of an interdisciplinary nature, mixes computer architectures and high performance computing, with a central training on theoretical physics. These studies took place first at the Universidad de Costa Rica and then at Trinity College Dublin. I then did my PhD in a joint doctoral programme, with main host the University of Wuppertal, and secondary ones the University of Ferrara and the University of Cyprus. My PhD research, centered in numerical linear algebra and with a particular application to Lattice QCD, spanned algebraic multigrid methods, matrix functions, recycling in Krylov methods, stochastic trace estimation, and efficient large-scale CPU/GPU HPC implementations. After my PhD, I continued at the University of Wuppertal as a postdoctoral researcher. Then, I joined the SDLQM group at the Juelich Supercomputing Centre to temporarily shift my research towards semi-dense numerical linear algebra methods with an application to the Non-Equilibrium Green’s Function method, as well as to explore the possible acceleration of traditional Density Function Theory via explainable Machine Learning methods.