I am a Ramón y Cajal Assistant Professor in the School of the Physical Sciences at Universidad Complutense de Madrid (UCM), where I study soft matter physics (with a special focus on flow networks), deep learning (theory and applications), and many other problems that I find interesting.
Before joining UCM, I was a Conex-Plus Marie Skłodowska-Curie independent researcher at Universidad Carlos III de Madrid (UC3M), and before that I was an Assistant Professor (Profesor Ayudante Doctor) at Universidad Politécnica de Madrid (UPM), School of Industrial Engineering, from September 2020 to June 2021.
From 2017 to 2020 I was a postdoctoral researcher in the Soft Matter Theory Group at the University of Pennsylvania, working with Andrea J Liu and Eleni Katifori. I loved my time in Philadelphia, where I started to study soft matter physics, network theory and machine learning. During this time, I was also the PI of a research grant financed by the National Science Foundation (NSF, USA) through the Extreme Science and Engineering Discovery Environment (XSEDE). I participated as a researcher in two more projects funded by the NSF and was a collaborator of the Simons Collaboration: “Cracking the Glass Problem”.
My PhD was funded by an independent scholarship, the FPU program from the Spanish government. I was co-supervised by Antonio Prados (Universidad de Sevilla) and Luis Bonilla (UC3M). I was fortunate to receive a scholarship to live in the Residencia de Estudiantes. I was also funded to carry out short research visits to Princeton University, École Normale Supérieure Paris, University of California Santa Barbara and University of Iceland. Previously, I was a physics undergraduate student at Universidad de Sevilla where I received the award to the best student in the class of 2012.
