People

Rafal Urbaniak

Research Scientist, Basis

Rafal Urbaniak is a research scientist at Basis, specializing in Bayesian methods and causal probabilistic programming. His interests include criminal evidence evaluation, bias in natural language processing, and online aggression. At Basis, he develops advanced tools for causal explanation to inform policy-making decisions and identify collaboration strategies in animal behavior. Rafal holds a Ph.D. in Logic and Philosophy of Mathematics from the University of Calgary and has held positions at the Research Foundation Flanders, Trinity College Dublin, and the University of Bristol.

Google Scholar

Position

Research Scientist
Basis

Education

PhD, Logic and Philosophy of Mathematics
University of Calgary

Previous Appointments

Research Foundation Flanders
Researcher
Trinity College Dublin
Researcher
University of Bristol
Researcher

Articles

Basis essays and updates this person wrote or contributed to.

Linking Cognitive Strategy, Neural Mechanism, and Movement Statistics in Group Foraging Behaviors

November 4, 2024

In a new paper, we combined cognitive neuroscience with statistical methods to model group foraging behavior. Our ongoing work aims to construct a unifying framework that allows researchers to analyze complex group behaviors across different species and environments.

Autumn: Causal Discovery Through Program Synthesis

February 1, 2023

We’re introducing AutumnSynth, an algorithm that synthesizes the source code of simple 2D video games from a small amount of observed video data. This represents a step forward toward systems that can perform causal theory discovery in real-world environments.