Welcome to my homepage.
Since September 2015, I am an Assistant Professor at ENSAI, Bruz, France.
I am working in the field of statistical learning/non-parametric statistics. I focus in particular on the problem of hyper-parameter tuning for learning algorithms. I try to obtain methodological improvements from an in depth theoretical understanding of model selection issues. So far, I studied the so-called Slope Heuristics as well as resampling (penalization) methods. A central theoretical aspect of this line of research, based on Empirical Process Theory, is to obtain precise concentration bounds for the excess risk of M-estimators.
I also work on the related subjects of learning from Markov chains, robust learning (i.e. learning with heavy tailed data), sketching for massive data, Bregman clustering, Small-ball approach in Learning Theory and non-parametric statistics, as well a some probabilistic inequalities linked to log-concave measures.
Phone: +33 (0)2 99 05 32 10
Curriculum Vitae [pdf]