Copenhagen Causality Lab (CoCaLa)

Causality is a fundamental concept in science, and our research is centred around this concept and how it relates to statistical modeling and data analysis. Some main aspects of our research are outlined below.


Graphical models 
Independence statements in probability models can be studied via graphs, and models based on e.g. directed acyclic graphs are used widely as causal models. Graph theory in relation to causal modeling is a core activity of our research.

The goal is a deep understanding of how graphical models in a wide sense can be used to encode independence, how they behave as mathematical objects and as statistical models, and how to compute efficiently with graphical models for practical data analysis.

Dynamical models 
There is a flow from cause to effect along the arrow of time. This is a salient assumption of a causal model, which can be made explicit for models of discrete-time dynamical systems (time series models) using conventional graphical models. For event process models and other continuous-time dynamic stochastic models new developments are required. One goal is to expand the applicability of graphical models beyond the discrete-time framework. Another is to develop practical methods for causal modeling of dynamic stochastic systems.

Structure learning 
Data driven selection among multiple causal models is a main practical challenge. We investigate constraint and score based algorithms for graphical model selection. A particular focus is on models with latent variable structures to handle incomplete observations from a causal model. Specific developments include non-parametric conditional independence tests, model scoring, and invariant prediction.



PhD and postdoc positions within CoCaLa will be announced via the department's regular calls, see Vacant positions

The annual PhD calls have deadlines late November and April. The annual postdoc call will open in October with a deadline in mid-November.

Positions related to specific projects within CoCaLa are described in the general calls, but you are welcome to contact us if you have questions regarding open positions. 



We are funded by



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Staff at CoCaLa

Name Title Phone E-mail
Brodersen, Simon Vinding IT Officer, FU +4535329788 E-mail
Christgau, Alexander Mangulad PhD Fellow   E-mail
Clement, Ella PhD Fellow +4591444201 E-mail
Hansen, Niels Richard Head of Section +4535320783 E-mail
Limnios, Myrto Postdoc +4535320043 E-mail
Lundborg, Anton Rask Postdoc +4535321679 E-mail
Pfister, Niklas Andreas Associate Professor   E-mail
Pilipovic, Predrag PhD Fellow +4535337522 E-mail
Weichwald, Sebastian Assistant Professor - Tenure Track +4535334325 E-mail
Jacobsen, Ella PhD Student E-mail

Former staff

Frederik Riis Mikkelsen
Adam Lund


Niels Richard HansenProfessor
Niels Richard Hansen
Office 04.3.18

Phone: +45 35 32 07 83
Mobile: +45 28 59 07 65