- Currently, I'm a postdoctoral researcher at the Empirical Inference Department of the Max Planck Institute for Intelligent Systems, Tübingen, Germany, working with Bernhard Schölkopf.
- From 2013 to 2017 I pursued my PhD (Dr. rer. nat.) under the supervision of Dominik Janzing, Bernhard Schölkopf and Marc Toussaint at the Max Planck Institute for Intelligent Systems and the University of Stuttgart, Germany.
- In 2015, I did an internship at Microsoft Research Cambridge, United Kingdom.
- From 2006 till 2012, I studied mathematics and philosophy at Humboldt University of Berlin and at Heidelberg University, Germany.
Full curriculm vitae
My research interests spans several topics within the fields — and in particular at the intersections of — inference, computing, multi-agent and dynamics:
- inference and computing:
- causal inference (in particular, quasi-experiments and counterfactuals),
- time series analysis (in partiular, demand forecasting, Kalman filtering, eponential smoothing, but also RNNs),
- general machine learning,
- mathematical logic, but also computability and computational complexity theory (in partiular, Gödel incompleteness),
- cloud computing (in particular, data-driven approaches to modeling and control, but also economic and privacy problems),
- multi-agent and dynamics:
- coordination games (in particular, congestion games),
- game dynamics (in particular, best-reponse dynamics, but also no-regret dynamics),
- broadly, social and business decision making.
Working at the intersection of theory and applications, my research — ideally — starts with real-world problems and ends with interventions on the real world.
Broadly speaking, personally I consider making society more just as the one most important long-term, general problem. An interesting question is w.r.t. the portentials and limitations of research and technology (e.g., AI) for solving this problem.
My contact information can be found on my institute web site.