About
Dr. Julian Hedges is a Strathclyde Chancellor's Fellow and Research Fellow in the Department of Computer and Information Sciences at the University of Strathclyde's Faculty of Science. His research bridges theoretical mathematics and computer science with a focus on compositional systems and applied category theory.
Primary research interests include:
- Developing categorical frameworks for reinforcement learning and cybernetic systems
- Bayesian approaches to game theory with incomplete information
- Compositional modeling of complex networks and institutions
- Theoretical foundations of decision processes and optimization algorithms
Recent publications (2021-2025) demonstrate strong focus on:
- Theoretical computer science foundations (55%)
- Game theory applications (30%)
- Reinforcement learning frameworks (15%)
Current projects include:
- Principal Investigator for PhD Studentship: Compositional free energy (2024-2027)
- EPSRC Industrial CASE Account: Bayesian inference for complex systems (2021-2026)
- Maths DTP 2020: Categorical methods in computation
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