Department of Automatic Control, Lund University
I'm a postdoc at the Department of Automatic Control at Lund University working at the intersection of causal inference and control theory. In particular, I'm interested in causal inference in dynamical systems and system identification. In collaboration with researchers at the European Spallation Source, we aim to develop and apply causal inference methods to solve challenging problems at this facility. My work is funded by an International Postdoctoral Grant from the Independent Research Fund Denmark. Prior to joining the department in Lund, I was a postdoc in Søren Hauberg's group at the Technical University of Denmark, studying random geometries in the context of machine learning.
I was a PhD student at Copenhagen Causality Lab at the Department of Mathematical Sciences, University of Copenhagen. My PhD advisor was Niels Richard Hansen. My thesis work was on graphical models, structure learning, and causal inference, in particular in relation to dynamical systems. The overarching goal of my thesis work was to develop methods for extracting causal information from partial observation of e.g. point processes, diffusions, and time series.
I have a background in mathematics and theoretical statistics, and I have experience with applied statistics and epidemiology from the Bandim Health Project.
The research page contains papers and presentations.