I am a Postdoc at Copenhagen Causality Lab of the University of Copenhagen and work with Niels Richard Hansen.

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 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!

• Check out our new paper with Stephan Clémençon entitled '’On Ranking-based Tests of Independence’’, to appear in the Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS) 2024!

• I am honoured to give a talk @ the Seminar of the PreMeDiCal Inria-Inserm Team, January 29/2024, at Montpellier, France.

• I am honoured to give a talk @ the international conference European Meeting of Statisticians 2023, Bernoulli Society, July 3-8/2023, at Warsaw, Poland.

• I am honoured to be invited to give a talk @ the international conference 35th Panhellenic and 1st International Statistics Conference 2023, May 25-28/2023, in Athens, Greece.

• I am honoured to give a talk @ the international conference Women in Mathematical Sciences 2023 to celebrate the International Women in Maths Day, May 11-12/2023, at SDU, Odense, Denmark.