Équipe Images et Contenus (IC) : GONSE Marine

Thématiques de recherche : My research is positioned between marine ecology, statistics, and computational sciences. I investigate the spatial dynamics, movement ecology, and population connectivity of exploited and endangered marine species, with the goal of informing conservation strategies and ecosystem-based fisheries management. I integrate multi-source empirical data – including biologging (acoustic telemetry, archival tagging), otolith-based natural tracers (microchemistry, shape, growth), and genetic markers – with advanced statistical and modeling frameworks, including Bayesian modeling, state-space models, data assimilation, and machine learning.

Points forts des activités de recherche : The main contribution of my work lies in combining innovative and complementary animal tracking methods with cutting-edge movement modelling, with direct applications for improving the management and conservation of marine animal populations. Such interdisciplinary research requires working in collaborative teams that bring together ecologists, marine biologists, statisticians, and computer scientists.
For instance, I have contributed to a better understanding of the structure and connectivity of marine and anadromous fish populations by modelling individual fluxes between essential habitats by integrating otolith-based and genetic markers in Bayesian models. More recently, I have used biologging and acoustic telemetry data to reconstruct fish trajectories, providing insights into habitat connectivity. The results of these projects offered direct evidence to inform management strategies in the context of fisheries.
In the past, I also contributed to cetacean conservation by using opportunistic citizen-science observation data to forecast, in real time, the future trajectories of an endangered killer whale population. I developed a state-space model framework embedded in a data assimilation algorithm, which enabled the forecasting of future whale positions. This work directly helped mitigate the risk of collisions between whales and vessels, thereby improving the conservation of this sensitive cetacean population.
I am now working on a new project that aims to predict how marine mammals and fish will respond to climate change and anthropogenic activities in coastal areas, using biologging data and artificial intelligence.