Alexander has completed his PhD in 2019 at Heidelberg University (Germany) in mathematical statistics. Before he started at LSE in July 2021, he had worked at University of Mannheim (Germany) and KU Leuven (Belgium). His main research interest lies in the mathematical analysis of statistical models for network data. In such data sets neighbouring vertices in the network influence each other and thus they may not be treated as independent observations. This poses an additional challenge for conducting inference in network models. More specifically Alexander studies models of this type in which vertices can interact with each other and where these interactions are observed as counting processes.
In other projects Alexander works on the asymptotic analysis of non-parametric or semi-parametric models. More specifically he is interested in regression discontinuity design models and quantile regression under censoring.