About me

Hello. I am a behavioral scientist with a background in designing laboratory experiments. Now I work as a guest researcher at Max Planck Institute for Biological Cybernetics. I study experimental economics methodology, with a focus on joint causal inference and interventional causal discovery. My substantive interests include understanding subjects’ information exchange during repeated interactions (see the thesis), like understanding dynamics bids changing and forming beliefs about opponents.

You might be interested in our python version of R package for computing asymmetric Shapley values to assess causality in any trained machine learning model, with working example of using here.