I am a physicist and I persued my PhD in remote sensing and data science at the Image Processing Laboratory, University of Valencia. I am passionate about applying programming and machine learning skills to solve real-world problems.
During my research, I developed innovative machine learning models to forecast and reconstruct sea level changes driven by internal climate variability. I analyzed large datasets, establishing relationships between open ocean temperature patterns at various depths (using in situ data) and coastal sea levels observed by satellites. Additionally, I explored the automatic identification of regional-scale climate variability using unsupervised machine learning techniques.
Now I am involved in the AI4PEX project as a postdoc. Here, I'm identifying individual and compound ocean extreme events and their precursors from high-resolution Earth System Model simulations and Earth Observation-based fields through machine learning approaches. Beyond my technical expertise, I consider myself an organized, motivated, and independent researcher, committed to continuous personal and professional growth. I value honesty, transparency, dynamic research environments, teamwork, and the exchange of ideas.