Keywords: causality, computational statistics, machine learning, independence testing.
My work focuses mainly on causal inference: we try to learn causal structures either from purely observational data or from a combination of observational and interventional data. We therefore develop both theory and methodology. Our work relates to areas like high-dimensional statistics, computational statistics or graphical models. It's an exciting research area with lots of open questions!
Most of the publications are also on Google Scholar.
Even, if there is no PhD call and you think about doing a PhD or postdoc in causality, please send me an email.
We have written a book on causality that is now being copy-edited and that will appear as open access at MIT Press. A final draft (6.10.2017) is now available for download (see below).
Jonas Peters, Dominik Janzing, Bernhard Schölkopf: Elements of Causal Inference: Foundations and Learning Algorithms
Link to MIT Press (free pdf available)
The pdf can be downloaded for free from the MIT Press website (look for "This is an open access title" on the left-hand side).
Jonas is associate professor at the Department of Mathematical Sciences at the University of Copenhagen, and is a member of the Junge Akademie. Previously, Jonas has been leading the causality group at the MPI for Intelligent Systems in Tübingen and was a Marie Curie fellow at the Seminar für Statistik, ETH Zurich. He studied Mathematics at the University of Heidelberg and the University of Cambridge and did his PhD with Dominik Janzing, Bernhard Schölkopf and Peter Bühlmann. Jonas has done research internships with Leon Bottou at Microsoft Research (WA, USA), Martin Wainwright at UC Berkeley (CA, USA) and Peter Spirtes at CMU (Pittsburgh, USA). Jonas is interested in inferring causal relationships from observational data and works both on theory and methodology. His work relates to areas as computational statistics, graphical models, independence testing or high-dimensional statistics.
A full CV can be found here.
I have written a script on causality that I am more than happy to receive feedback on. Please note that it is still missing some sections. It can be downloaded here.