I work as a data scientist at Preply, based in Barcelona, Spain. Main interests are recommender systems, causal inference and stable diffusion.

I enjoy playing tennis, reading novels and philosophy (very slowly), drinking sour beer and watching old movies, see Arbitrary thoughts.

Below is a brief description of my academic background.

From 2020 to 2022 I worked as a researcher at the Institut Curie in Jean-Léon Maître’s lab. I developed machine learning models to analyse 3D images in a semi-automated fashion and perform precise measurements.

I completed my PhD as a joint student between James Briscoe’s lab at the Francis Crick Institute and Peter Sollich’s group at King’s College London in 2020. My research focused on the understanding of cell fate decision from the perspective of biology as a dynamical system. I employed tools from mathematics, machine learning and statistical physics to understand these systems’ fundamental properties. In particular, I explored the properties of conserved modules in regulatory networks and how this affects biologically relevant aspects such as fate specification time, patterning precision or robustness to perturbations. The research was multidisciplinary and collaborative in nature, with theory and experiments combining to discover scientific results, see Projects and Publications.

I enjoy developing personal projects, some of which you may find here Projects.