About

My path into Earth system science began with geoinformatics and remote sensing, and gradually expanded toward climate dynamics and data-driven modeling.

Current work

I am a doctoral researcher in Earth System Modeling at the Technical University of Munich and a guest researcher at the Potsdam Institute for Climate Impact Research.

My current work develops probabilistic and physically informed modeling approaches to reconstruct Earth system states, investigate climate extremes, and support early warning of emerging risks.

Academic path

Before moving to Germany, I trained in geoinformatics and remote sensing in China. Working with satellite observations and spatial data led me toward broader questions about climate, ecosystems, and the processes that connect them.

That background still shapes how I approach research: I tend to move between observations, models, and computation rather than treating them as separate worlds.

Research perspective

I am most interested in questions where complex spatiotemporal data, computational models, and Earth processes meet. I want data-driven methods to do more than predict well: they should expose uncertainty, remain scientifically interpretable, and work in concert with physics-based approaches to help us understand a changing planet.

Beyond research

Outside research, I enjoy bouldering, hiking, and strength training. They offer a welcome change of scale from long-running models and large geospatial datasets.