I am a Bernoulli Instructor at the Institute of Mathematics at EPFL. My research is centered on nonparametric statistics, statistical learning and stochastic processes, with applications to biomedical studies. I am now interested in causal learning for unstructured events, and in particular in conditional local independence testing and learning algorithms.

I was a Postdoc at Copenhagen Causality Lab of the University of Copenhagen and worked with Niels Richard Hansen on learning methods for point processes. Prior to this, I successfully finished my PhD at Centre Borelli, ENS Paris-Saclay, Université Paris-Saclay, under the supervision of Prof. Nicolas Vayatis and Ioannis Bargiotas. My thesis entitled ‘‘Rank Processes and Statistical Applications in High Dimension’’ can be found here and slides.

I work in collaboration with Prof. Stephan Clémençon at Télécom Paris on particular classes of stochastic processes with possible applications to statistical tests.

Visit the repository and read the article of a selection of papers related to COVID-19 outbreak developed with Marie Garin, Alice Nicolaï and Nicolas Vayatis, with detailed reviews.

News!