Hi! Welcome to my personal webpage and thank you for your interest :)

I am currently a post-doctoral researcher in Statistics and Machine Learning at the Barcelona School of Economics and Universitat Pompeu Fabra, in the Statistics group, working with Prof. David Rossell and Prof. Gabor Lugosi.

My research interests include networks, point processes, Bayesian inference, high-dimensional and nonparametric statistics, tree algorithms, and graphical models.

I am also interested in the interpretability, robustness, and fairness of statistical and machine learning methods, and have notably worked with counterfactual and Bayesian analysis.

Prior to this position, I obtained a Ph.D. in the Department of Statistics at the University of Oxford, under the supervision of Judith Rousseau, Mihai Cucuringu, Xiaowen Dong and Vincent Rivoirard. My Ph.D. thesis is entitled “Flexible estimation of temporal point processes and graphs”.

I am always pleased to receive some news, suggestions, and hear about your research interests! Please contact me at deborah [dot] sulem [at] bse [dot] eu