I work on what causal models claim, how those claims can be tested (or not), and why apparent progress in or through causality is sometimes less clear than it looks. Much of this starts by stepping back to ask what we are trying to do(ask = “Why?”).
We study causal model transformation, abstraction, and representation, how mathematical causal models can represent real-world actions and observations, temporal qualification of causal DAGs and acyclicity, benchmark artefacts in causal discovery, causally meaningful graph distances, and software such as 𝚐𝚊𝚍𝚓𝚒𝚍, CIfly, and FLOP. Causal abstraction and representation may also help clarify what a learned model implements, what is preserved across levels of description, and when emergent higher-level entities or objectives are meaningful units of analysis.
At the University of Copenhagen, I am part of the Copenhagen Causality Lab (CoCaLa), where I am lucky to work with a relentlessly curious group. I am a faculty member in the Department of Mathematical Sciences, co-lead for causality at the Pioneer Centre for AI (P1), and serve on the fellowship evaluation committee of the Danish Data Science Academy (DDSA). Previously, I was a postdoc in Copenhagen and a PhD student at the Max Planck Institute for Intelligent Systems and ETH Zurich.
↳ Olds.
We are part of the Copenhagen Causality Lab, where I feel lucky to work with people who are open-minded, technically sharp, and generous with ideas. We often step back to the blackboard to question defaults, sharpen concepts, and see whether a problem needs a new formulation rather than another incremental variation. If this sounds like an environment you would like to contribute to, check out how to research with us.
Alumni: Simon Bing (2025, PhD exchange), Emanuele Marconato (2024, PhD exchange), Alexander G Reisach (2024, PhD exchange; 2020/21, MSc exchange), Theo Würtzen (2023/24, RA)
For official contact details, see my University of Copenhagen profile.
Before emailing, please read the relevant section below and use the subject prefix indicated there. This is a small but useful intervention: it makes it more likely that your message surfaces in the right context.
We are always happy to hear from curious people who want to think deeply about causal modelling, its foundations, and its practical limits. We receive many inquiries and may not be able to respond to all messages. Please do not read silence as a lack of interest. It usually means we are at the blackboard or immersed in research discussions with the group 📚. If your message is still relevant after a few weeks, do feel free to resend it. We won’t mind at all 📬.
Postdoc positions are announced annually (applications due November 15) and PhD positions twice a year (applications due April 1 or November 15) through official department calls.
Applications must be submitted through the official calls. To keep the process fair and manageable, we cannot pre‑assess applications, provide feedback, or consider application materials sent by email outside these calls.
In your application, describe your own ideas and explain why they fit well with our group and, if relevant, with the specific project mentioned in the call. Even when a project is listed, you are always welcome to pitch your own research agenda. If you are unsure whether your background or interests are a perfect match, we still encourage you to apply. We value curiosity and originality, and details can be discussed during the process.
If you plan to apply for your own funding (for example, DDSA, DARA, MSCA), email me using the subject prefix “[initiative]” and include a concise sketch of your project, the relevand funding scheme, and why you believe our group offers the right environment for it.
Additional resources: PhD programme overview, salary conditions (PhDs usually start at step 4 after a 3+2 BSc+MSc education), pointers for prospective postdocs or PhD students on Jun Yang’s website.
We have had great experiences hosting research visitors and PhD exchange students. If you are interested in visiting, please email me using the subject prefix “[visit]” and include a note about your background, what you would like to research with us, and what draws you to Copenhagen or the Copenhagen Causality Lab. DDSA visit grants may be a funding option for short visits.
We welcome collaborations where our interests and expertise can add something useful, whether that means a joint research project, organising a workshop, or inviting us for a talk. If you have an idea that aligns with our work, feel free to reach out using the subject prefix “[collaboration]”.
If you are a student at the University of Copenhagen and would like to do a thesis or student project with me, please stop by my office or email me from your university address using the subject prefix “[UCPH]”. Include one concept, topic, or paper from a relevant course that sparked your curiosity and a question it raised. Also tell me which aspects of the work you enjoy most (for example theory, proofs, literature research, coding, data analysis, or writing) and what your ambitions are for the project.