His research is focused on improving our understanding of cloud processes and cloud-radiation interactions in the past, present and future climate. In particular, he's interested in the modifications that clouds and precipitation undergo in response to anthropogenically induced energy imbalances, commonly referred to as “cloud feedbacks”. Reducing the uncertainty caused by these feedbacks is critical to predict the future climate change. To tackle this problem, he currently works on the development and the use of satellite observations to evaluate the representation of cloud-radiation feedbacks in climate models. He specializes in active sensor satellite observations from a-train CALIPSO and CloudSat satellites, which give access to unprecedented cloud-related information such as the detailed vertical structure of clouds and their water phase partitioning, as well as their precise spatial distribution over continents and polar regions. These unique observations bring new perspectives and open the path to new breakthrough in the understanding of the climate system.