About

Data scientist with a PhD in statistics and a background in actuarial mathematics. I wrote my PhD thesis at the Copenhagen Causality Lab under the supervision of Professor Jonas Peters. My interests and research are within the fields of data science, causality, and machine learning.

News

  • 31st of May, 2022: The last project of my PhD thesis ‘Structure Learning for Directed Trees’ written in collaboration with Rajen D. Shah (Cambridge), Peter Bühlmann (ETH Zurich), and Jonas Peters (University of Copenhagen) has been accepted for publication in The Journal of Machine Learning Research (JMLR).
  • 1st of February, 2022: I have been temporarily hired as a research assistant to finalize and submit for publication the last project of my PhD thesis.
  • 4th of November, 2021: I successfully defended my PhD thesis `Causality and Generalizability: Identifiability and Learning Methods’. A corrected and maintained version of the thesis can be found on arXiv
  • 1st of April, 2020: Jointly with fellow PhD students Nikolaj Thams, Phillip Bredahl Mogensen, we made a dashboard tracking the worldwide progress of COVID-19, which led to a short TV interview along with an article. See also the UCPH announcement.
  • 14th of December, 2019: The Copenhagen Causality Lab team consisting of Sebastian Weichwald, Phillip B. Mogensen, Lasse Petersen, Nikolaj Thams, Gherardo Varando and I, have won the NeurIPS competition Causality for Climate. Participants were tasked with estimating the underlying causal graphs of various time series from climate data (code, UCPH announcement, AWS Machine Learning Blog, Amazon Science)
  • 7th of September, 2018: Today I received the Danish Mathematical Society’s (DMF) Thesis Prize of 2017. This prize is awarded each year to the best mathematical thesis submitted at Danish universities. (UCPH announcement, DMF announcement)
  • 8th of February, 2017: I successfully defended my master’s thesis `Distance Covariance in Metric Spaces: Non-Parametric Independence Testing in Metric Spaces’. My master’s thesis was written under the supervision of Professor Thomas Mikosch. The thesis can be found on arXiv.