Joel Dyer

Joel is a postdoctoral researcher developing methodology and tooling for agent-based simulation models. He completed his DPhil in computational statistics and machine learning at the University of Oxford’s Mathematical Institute and Institute for New Economic Thinking under the supervision of Prof. J. Doyne Farmer, where his research focus was on likelihood-free parameter inference methods for simulation models in the social sciences. Previously, Joel has worked as a Research Scientist at Improbable, and has held visiting research positions at The Alan Turing Institute and University of Bristol through The Alan Turing Institute’s Enrichment Scheme.

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