I amm a PhD student at the Universitat de València (Spain), supervised by Gustau Camps-Valls and Gherardo Varando. My research focuses on developing and understanding Detection and Attribution (D&A) of Climate Change methods in a causal inference framework.

More broadly, I’m interested in learning theory and how to combine different sources of data and knowledge to make predictions and understand complex phenomena. My academic interests span causal inference, Bayesian inference (especially as inductive logic), kernel methods, climate change D&A, the philosophy of causality and probability, and moral philosophy—particularly how blame and responsibility relate to counterfactual reasoning.

I recently had a paper accepted at AISTATS on causal regularisation for robust multivariate prediction, and another submission on a causal representation learning framework for identifying direct effect spaces in outcome variables, with applications to detection and effect separation.

I am also preparing a course on probabilistic climate modelling. It will explore probability as inductive logic, uncertainty quantification, Markov Chain simulations in climate models, calibration and basic concepts in detection and attribution.