Nicola Gnecco


Department of Statistics

405 Evans Hall

University of California, Berkeley

CA 94720-3860

I am a postdoctoral researcher @ Yu Group, UC Berkeley working with Bin Yu and supported by a research grant (210976) from the Swiss National Science Foundation.

My vision is to develop statistical models that are flexible enough to account for recent advances in machine learning while benefiting from causality for better interpretation and robustness. My research spans two directions: causal inference for extremes and distribution generalization from a causal perspective.

Previously, I was a postdoctoral researcher @ Copenhagen Causality Lab, University of Copenhagen, working with Jonas Peters and Niklas Pfister. I obtained a PhD supervised by Sebastian Engelke @ Research Center for Statistics, University of Geneva, and a master’s thesis in Statistics supervised by Nicolai Meinshausen @ Seminar for Statistics, ETH Zurich.

Keywords: causal inference, distribution generalization, extreme value theory.