Sebastian Weichwald.
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I aim at improving the applicability of causal modelling and advocate for pragmatic causal modelling. We work on the conceptual foundations of causal model transformations and causal feature learning (UAI paper 2017 & 2021), causal interpretation of common neuroimaging analyses (NeuroImage paper), causal graph distances for (UAI paper) and pitfalls of causal discovery benchmarking (NeurIPS paper 2021 & 2023), and won the Causality 4 Climate NeurIPS competition (PMLR paper).
I am Associate Professor at the CoCaLa (Copenhagen Causality Lab, Department of Mathematical Sciences, University of Copenhagen), co-lead of the Causality and Explainability (CX) collaboratory at the Pioneer Centre for AI (P1), and on the fellowship evaluation committee of the Danish Data Science Academy (DDSA). Before, I was a Postdoc here and a PhD student at the Max Planck Institute for Intelligent Systems and the ETH Zurich.
Group at CoCaLa (Copenhagen Causality Lab).
Great people have decided to work with me β thank you for the inspiration! If also you are interested in doing a PhD or Postdoc with me, keep an eye on news and open positions.
- Anders G Madsen, PhD student, 2024- (main supervisor: Lars Kai Hansen)
- Frederik H JΓΈrgensen, PhD student, 2022β (co-supervisor: Jonas Peters)
- Luigi Gresele, Postdoc, 2024β
- Mikolaj Tymon Mazurczyk, PhD student, 2024- (main supervisor: Christian Igel; co: Yevgeny Seldin)
- Moises Chavira Flores, PhD student, 2024β (main supervisor: Leonard Henckel)
- Silvan Vollmer, PhD student, 2024β (joint-supervisor: Niklas Pfister)
Alumni: Emanuele Marconato (PhD exchange, 24), Alexander G Reisach (PhD exchange, 24; MSc exchange 20/21), Theo WΓΌrtzen (RA, 23/24)
News.
- Feb 2025.
- Two preprints up on arxiv discussing foundations of causal (acyclic) models: we ask What is causal about causal models and representations? and we make the case for time in causal DAGs.
- April 2024.
-
Two papers accepted: 1) spillR:
Spillover Compensation in Mass Cytometry Data accepted at
Bioinformatics; 2) our new ππππππ for causal structure
learning β just
pip install gadjidand try it for yourself ποΈ β accepted at UAI 2024. - Jul 2023.
-
We released CausalDisco
πͺ© β
pip install CausalDiscoto use simple SortnRegress baseline causal discovery algorithms and evaluate the RΒ²- and Var-sortability of structure learning tasks. Check out our recent NeurIPS paper for more π€
Open Positions, Exchange, and Student Projects.
Open PhD positions are announced bi-annually (applications due April
1st or November 15th) and open Postdoc positions are announced annually
(applications due November 15th) via our department
calls.
You have an unconventional background or are not entirely sure the
project exactly matches your interest? Please go ahead and apply in any
case π We can discuss any questions and all details during the
application process. My apologies that I cannot respond to applications
and individual questions emailed to me beforehand.
Please get in touch using the email subject prefix β[initiative]β, if you wish to propose an idea for working with me as an exchange researcher or plan on applying for your PhD or Postdoc funding individually, for example, through the DDSA fellowship programme.
If you are a student at the University of Copenhagen and would like to do your student/BSc/MSc project with me, please stop by my office or send me an email from your university email address using the email subject prefix β[UCPH]β.