Professor Paul Goldberg

MSc, PhD

Jeffrey Cheah Fellow, Supernumerary Fellow

Following my first degree (in Mathematics, Oxford University) and PhD (Computer Science, Edinburgh University), I spend three years at Sandia National Labs, Albuquerque, USA. After returning to the UK, I did postdoctoral research in neural networks at Aston University, then was a faculty member at Warwick University, then Liverpool University, before coming to Oxford (Dept. of Computer Science) in 2013. For the past 11 years I was also a senior research Fellow at Brasenose College.

The unifying theme of my research is the mathematical analysis of computational problems, and within that (large) research area, my main focus (since the early 2000s) is on Algorithmic Game Theory, the study of mathematical models of interactions amongst self-interested agents that have possibly conflicting aims and objectives. This research area developed rapidly since the late ‘90s, motivated by e-commerce, and AI and machine learning, including game-theoretic models of data. More recently I have developed in interest in Computational Social Choice theory, and voting systems in particular. Voting has recently acquired increased interest as an ingredient of AI systems, along with applications to blockchain systems, dispute resolution systems, and other areas.

The unifying theme of my research is the mathematical analysis of computational problems, and within that (large) research area, my main focus (since the early 2000s) is on Algorithmic Game Theory, the study of mathematical models of interactions amongst self-interested agents that have possibly conflicting aims and objectives. This research area developed rapidly since the late ‘90s, motivated by e-commerce, and AI and machine learning, including game-theoretic models of data. More recently I have developed in interest in Computational Social Choice theory, and voting systems in particular. Voting has recently acquired increased interest as an ingredient of AI systems, along with applications to blockchain systems, dispute resolution systems, and other areas.

Brasenose Shield Logo
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.