Malena graduated with a double degree in Physics and Mathematics from the Autonomous University of Barcelona, and spent her last year on an ERASMUS exchange at Durham University. She completed her final project on the statistical analysis of quantum measurement-induced stochastic dynamics using FDA. As she had a growing interest in Statistics, she chose to continue her research in the SAMBa program. Outside of mathematics, Malena loves doing sports and writing. She also enjoys traveling and having friends over for dinner.

Research project title:
Fast iterative regularisation methods

Supervisor(s):
Silvia Gazzola

Project description:
Malena’s project was based on the study of fast iterative regularisation methods, with a particular focus on Krylov subspace methods and novel ways for determining regularisation operators and regularisation parameters. These tools are widely used in solving inverse problems, which are challenging as they can be large scale and severely ill-posed. As an example, Malena explored different imaging applications, such as tomography or deblurring and denoising of images.