Déborah Sulem

Déborah Sulem is a post-doctoral researcher at the Barcelona School of Economics and Universitat Pompeu Fabra, in the Statistics group, working with Prof. David Rossell and Prof. Gabor Lugosi.

Her research interests lie around networks, point processes, Bayesian inference, and high-dimensional and nonparametric statistics. She works on different problems from applied probability to machine learning, and recently became interested in network archaeology, tree algorithms, and graphical models.

She is also interested in the interpretability, robustness, and fairness of statistical and machine learning methods, and has notably worked with counterfactual and Bayesian analysis.