About

Rafal Urbaniak is a research scientist at the Basis Research Institute, specializing in Bayesian methods and probabilistic programming. His past research spans criminal evidence evaluation, bias in natural language processing, and modeling online aggression through causal Bayesian reasoning. At Basis, he focuses on developing tools for causal explanation and applying them (1) to identify collaboration strategies in animal behavior and (2) to assist policy-making. Rafal holds a PhD in Logic and Philosophy of Mathematics from the University of Calgary, where he explored non-standard foundations of mathematics. He has held various academic positions, including a Postdoctoral Fellowship with the Research Foundation Flanders, a Visiting Fellowship at Trinity College Dublin, and a British Academy Visiting Fellowship at the University of Bristol.

• Rafal’s short cv.

• Some of of Rafal’s programming projects.

• Rafal’s research papers and full academic cv.

You can contact Rafal by dropping him a line at rfl.urbaniak@gmail.com