His research focuses on developing and applying techniques to enhance the quantity, quality, and usability of satellite altimetry data for sea level and sea state studies, with a particular emphasis on the coastal zone. At the start of his career, these data were often considered unreliable due to signal interferences and challenges in applying the necessary corrections and adjustments to extract physical information from radar echoes. However, in recent years, significant progress has been made in instrumentation, but also in signal processing, and he is proud to have contributed to this success concerning this last aspect.

His work involves several key aspects. Firstly, he is passionate about developing algorithms that maximize data retention in challenging environments, such as coastal zones, sea ice-covered areas, and storm-affected regions. Secondly, he focuses on the scientific insights we can gain from these measurements by integrating them with other in-situ and remote sensing observations, as well as model outputs. This approach has allowed him, for example, to analyze how wave heights change as they approach the coast and to study sea level dynamics in the regions where they matter most: where people and infrastructures are.
Thirdly, a significant part of his work is dedicated to encouraging both the scientific community and broader audiences to make use of data that was long considered unreliable, enabling new applications. For instance, he recently collaborated with a master’s student to explore the use of wave height data for studying and monitoring the role of coral reefs as natural wave barriers.

One of the aspects he loves most about his work is that it allows him to stay at the forefront of technological advancements in Earth Observation while also advancing science by leveraging the vast amount of data collected by ESA and other space agencies, particularly since the 1990s. His goal is to ensure that we extract meaningful insights from these datasets now, rather than waiting decades to uncover results that could help modelers and planners monitor, predict, and adapt to a changing climate.