David Hyland
Interests
I am interested in incentives and collective agency as frameworks for understanding and shaping coordination in real-world multi-agent systems, involving both humans and AI systems. My work involves game theory, bounded rationality, collective intelligence, and models of human cognition.
I welcome opportunities for collaboration and discussion in these research areas.
Biography
I am a fourth-year DPhil student supervised by Michael Wooldridge and Julian Gutierrez. Prior to Oxford, I studied at the University of Sydney and undertook several research projects as an undergraduate. I completed a summer research scholarship and research assistantship with Gauthier Voron and Vincent Gramoli working on performance benchmarking for the DBFT consensus algorithm on the Corda blockchain. Following this, I initiated a TSP project with Peter Kim, where I studied, implemented, and built animated visualisations of 2D agent-based models of immune cell interactions in C++. In the summer before my final year as an undergraduate, I did a research internship in bioinformatics at The Kinghorn Cancer Centre where I devised and implemented an automated hyperparameter optimisation method based on binary search and wrote a parallelised implementation of a Nanopore DNA analysis algorithm using SIMD. During my honours year, I studied and implemented an entropy-regularised continuous time Reinforcement Learning algorithm under the supervision of Zhou Zhou.