Sebastian Weichwald, assistant professor

Since joining UCPH as a postdoc in September 2019, Sebastian has gained a reputation as an inspiring and good teacher. He was also in the lead of the CoCaLa team that won the NeurIPS 2019 Causality 4 Climate competition.

“During my time as a postdoc here at UCPH, I have worked on and supervised students on projects, inspired by our winning strategy for the NeurIPS competition, that reveal limitations of common additive noise model simulations for benchmarking causal structure learning algorithms. Insights which may hint at limited real-world plausibility of commonly used model classes in causal modelling rather than limitations of structure learning algorithms”, says Sebastian.

“I will pursue conceptual work in that realm to further probe the plausibility and real-world applicability of models where with causal noise, measurement noise, or noise stemming from aggregating finely-resolved models into macro-models”.

Sebastian completed his PhD at the Max Planck Institute for Intelligent Systems, Tübingen, and holds a BSc Mathematics degree from the University of Tübingen and MSc Computational Statistics and Machine Learning degree from UCL, where he completed his master's project on "Causal Effect Recovery from Linear Mixtures".

You can meet Sebastian in office 4.3.14. He is always happy to hear about and collaborate on real-world applications of statistical causal modelling that practitioners face or, more broadly, to discuss the quirks and limitations of causality frameworks.