Understanding forests.
Anticipating change.

From individual trees
to the global carbon cycle.

How resilient are tropical forests to climate change—and what does their future mean for our planet?

I am a vegetation modeller working at the intersection of tropical forest ecology, climate science and artificial intelligence. My background in environmental sciences and physics shapes how I approach ecological questions: by connecting the mechanisms inside individual plants with the behaviour of whole ecosystems.

My research focuses on the Amazon and Congo Basin, where climate change, land-use change and disturbance interact. I combine field observations, satellite data and process-based models to investigate forest productivity, recovery, plant water use and the role of lianas. I want to understand where forests can remain resilient, where they may approach critical thresholds, and which observations can most improve our predictions.

Observe. Understand.
Predict.

The future of tropical forests calls for an integrated approach.

I connect new observations with mechanistic understanding, particularly in regions where environmental data remain scarce. Three-dimensional forest measurements, climate records and satellite observations help reveal where models succeed, where they fail, and which processes are missing.

I am developing hybrid modelling approaches that combine the physical foundations of land-surface models with the speed and flexibility of AI. The goal is to explore climate and land-use scenarios while making uncertainty explicit.