Fitxa persona

Medical AI: During my FPU-funded PhD at the University of Valencia (UV), which I started in 2018, I focused on medical data analysis, publishing over 40 peer-reviewed papers in this period. The main contribution was the development of a fully automatic system for the detection, classification, and segmentation of prostate cancer lesions in MRI scans, improving diagnostic precision compared to radiologists and the State-of-the-Art (SOTA), offering a tool for second opinion to reduce missed cancers. Other contributions during this period include acceleration of bio-mechanical simulations with AI, the analysis of the phenomenon of post-COVID, a collaboration with the world’s biggest dialysis clinic, Fresenius Medical Care as well as with a pre-clinical research group at the University of Salamanca, leading to several projects and publications. My work was recognized with three awards in 2023: the Carta de Poblament de Torrent Prize, the ValgrAI Best Doctoral Thesis in AI, and the UV Extraordinary PhD Prize.

Earth Observation AI: In 2023, I got the opportunity to work as a post-doc at a cutting-edge research lab at the intersection of AI and Earth Observation (EO), and I decided to pivot, joining the DeepExtremes project. As climate change advances, extreme events’ occurrence and impact are exacerbated. To understand them, I applied predictive modeling and Explainable AI (XAI), contributing also to the creation of the DeepExtremeCubes dataset and the AIDE toolbox for extreme event analysis, and resulting as well in a Nature Communications paper. Currently, as Assistant Professor and researcher at UV, I am Co-PI of the Horizon ELLIOT project, where we (the UV) are developing Foundation Models (FMs) for EO. I also lead the UV’s contribution to the ELIAS project, currently finalizing the organization of a climate emulation competition for NeurIPS 2026. My recent research in data compression has identified legacy data formats as a structural bottleneck for the efficient training and deployment of EO FMs that the streaming-optimized TACO specification aims to solve.

Teaching experience: I have collaborated in university teaching since 2019. Since my appointment as Assistant Professor in October 2024 at the University of Valencia (UV), I teach Health Data Analytics and Natural Language Processing (NLP) in the Data Science Degree, Algorithm Audit in the University Master's in Digital Society, and Computer Systems and Information Systems in the Master's of Biomedical Engineering. Additionally, I supervise several undergraduate and master's final projects annually.