Joel Dyer
Joel Dyer
Room
214,
Wolfson Building,
Parks Road, Oxford OX1 3QD
United Kingdom
Interests
- Agent-based modelling
- Bayesian inference
- Monte Carlo
- Simulation-based planning and optimisation
- Machine learning
Biography
Joel is a postdoctoral researcher at the Department of Computer Science and a Research Fellow at the Oxford Institute for New Economic Thinking, where he develops methodology and tooling for agent-based simulation models. He recently completed a 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.