Email: @email
About me
I studied Physics and did a Master in Geophysics and Meteorology at the University of Granada. Afterwards, I worked for two years at the Arenosillo Atmospheric Observation Laboratory at the National Institute for Aerospace Technology (INTA). I obtained my PhD at the Technical University of Munich (TUM) and the German Aerospace Institute (DLR), with Summa Cum Laude distinction, where I developed radiative transfer models optimized with Machine Learning techniques for satellites such as TROPOMI. The title of my thesis was “High Performance Processing Algorithms of Satellite Measurements for Retrieval of Trace Gases and Cloud Properties”.
Subsequently, I worked as a postdoctoral researcher at DLR, contributing to the development of scientific algorithms for aerosol and cloud monitoring in space missions such as Sentinel-4, Sentinel-5P and GEMS. Later, at LifeWatch ERIC, I investigated the impact of aerosols on ecosystems using Deep Learning techniques and participated in the development of the PLATERO nanosatellite.
Currently, I am a researcher at the University of Granada with a Juan de la Cierva contract (JDC2022-048231-I) and lead the AI4ATMOS research line, to apply artificial intelligence to atmospheric problems. I am PI of the national project DeepAtmo (PID2023-151817OA-I00) that started in September 2024.
During my career, I have published 19 scientific papers and my research has been cited more than 295 times (h-index: 9). In addition, I actively participate in the scientific community with more than 60 conference contributions, review articles in high impact journals and as a member of the editorial board of Discover Atmosphere (Springer Nature).