Welcome to my homepage. Since September 2015, I am an Assistant Professor at ENSAI, Bruz, France and an academic member of the Crest lab. I am working in the field of statistical learning/nonparametric statistics. I focus in particular on the problem of hyperparameter tuning for learning algorithms. I try to obtain methodological improvements from an indepth theoretical understanding of model selection issues. So far, I studied the socalled 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 Mestimators. I also work on the related subjects of learning from Markov chains, robust learning (i.e. learning with heavy tailed and/or corrupted data), sketching for massive data, Bregman clustering, Smallball approach in Learning Theory and nonparametric statistics, as well a some probabilistic inequalities linked to logconcave measures. Since 2016, I am an elected member of the "groupe stat math" which is a group of researcher aiming at promoting mathematical statistics in France and on behalf of the French statistical society (Société Française de Statistique, SfDS). Since 2016, I am also an elected member of the Crest lab council ("conseil de laboratoire du Crest"). Since sept. 2015, I coorganize the Statistical seminar in Rennes. Email: asaumardatgmaildotcom Phone: +33 (0)2 99 05 32 10 Research topics
