Sebastian Weichwald.
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I am an advocate of pragmatic causal modelling and aim at improving the applicability of statistical causal modelling and causal ML. We work on the conceptual foundations of causal model transformations and causal feature learning (UAI paper 2017 & 2021), causal interpretation rules for common neuroimaging analyses (NeuroImage paper), 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 โ 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.
- Luigi Gresele, Postdoc, 2024โ
- Frederik H Jรธrgensen, PhD student, 2022โ (co-supervisor: Jonas Peters)
- Emanuele Marconato, visiting PhD student, MarโJul 2024
- Alexander G Reisach, visiting PhD student, MarโJul 2024
- Silvan Vollmer, PhD student, 2024โ (joint-supervisor: Niklas Pfister)
- Theo Wรผrtzen, Research Assistant, 2023โ
News.
- April 2024.
-
Two papers accepted: 1) spillR:
Spillover Compensation in Mass Cytometry Data accepted at
Bioinformatics; 2) our new ๐๐๐๐๐๐ for causal structure
learning โ just
pip install gadjidand try it for yourself ๐๏ธ โ accepted at UAI 2024. - Oct 2023.
- In our NeurIPS 2023 paper, we introduce โA Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Modelsโ and show that Rยฒ-sortability, in contrast to var-sortability, remains unchanged under data rescaling or standardization.
- Jul 2023.
-
We released CausalDisco
๐ชฉ โ
pip install CausalDiscoto use simple SortnRegress baseline causal discovery algorithms and evaluate the Rยฒ- and Var-sortability of structure learning tasks. Check out our recent NeurIPS paper for more ๐ค
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 ๐ 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 โ[initiative]โ, 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 โ[UCPH]โ.