julesdepersin.github.io - Jules Depersin

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I’m an Assistant Professor at the University of Amsterdam in the Quantitative Economics section. I received my PhD in Statistics from Center for research in economics and statistics (CREST), Paris in December 2021: here are the manuscript and the slides . I was supervised by Guillaume Lecué .

I have a strong background in high-dimensional geometry and robust machine learning. Having earned a Ph.D. in this field, my expertise lies in navigating the intricacies of statistical and computational complexities in high-dimensional tasks.

Over the years, I have transitioned from primarily theoretical work to exploring more concrete applications in the realm of economics. I have for instance studied the performance of standard estimators in non-IID settings with two-way fixed effects for trade data, and I have done work on measuring and understanding the role of search frictions in international trade. In these works I try to understand how to characterize the inherent "complexity" of a problem or a model.

Links to julesdepersin.github.io (2)