Nice to meet you!

I’m a PhD student at the Universitat Autònoma de Barcelona (UAB) currently working at the Center for Mathematical Research (CRM) and the Institute of Marine Research (ICM-CSIC).

Motivation

My desire is to contribute to a better understanding of our past, present and future climate system. What excites me about climate science is its extraordinary interdisciplinarity, which allows me to immerse myself in physics & mathematics, chemistry & biology, big data & programming, history and science communication, and to meet people with diverse backgrounds and passions.

Current research interest

Central to my current research is the predictability of extreme precipitation events on sub-seasonal time scales. In particular, I am interested in the question which predictors of the climate system can influence and ultimately improve the predictability of such events. Methodologically, I use neural networks in combination with explainable AI techniques.

In addition, I am interested in:

• Climate variability during the Holocene and possible influences on early civilizations.
• Structuring of coastal pollution by marine litter.
• ENSO variability and possible influences on global trade volumes
• Data visualization
• Clean code

News

Our work on complex Maximum Covariance Analysis was recently published. The paper comes along with an easy-to-use Python package (xMCA). You will find the key points of the technique summed up in a short review.