Bart de Keijzer

About me

I am a Lecturer in Computational Finance at the Department of Informatics, at King's College London. My research is in algorithms, optimisation, game theory, mechanism design, and computational complexity theory. I did my PhD studies at Centrum Wiskunde & Informatica (CWI) in the Networks & Optimization group. Prior to joining University of Essex, I worked as a postdoctoral research associate at the DIAG department of Sapienza University of Rome, CWI, at the Department of Computer Science at the University of Liverpool, and as a lecturer at the School of Computer Science and Electronic Engineering at the University of Essex.

Research Interests

I have a broad interest in theoretical computer science. More specifically: algorithms (approximation algorithms, randomized algorithms, and exact algorithms), computational complexity theory, optimisation (particularly combinatorial optimisation). Most of my research relates to mechanism design and game theory, and thus lies in the intersection of economics, mathematics, and computer science. My research has applications to economics, finance, verification, social choice, artificial intelligence, and multi-agent systems.

Research Experience

The following provides a brief overview of my academic career.

My research mainly belongs to the areas of Algorithmic Game Theory (AGT) and Algorithmic Mechanism Design (AMD). This research field deals with the complex issues at the intersection of incentives and computation. Broadly speaking, my recent research aims at building the theoretical foundations for a more applied use of AMD. In particular, as from my recent EPSRC project, the focus is on the study of mechanism design without money with (some kind of) verification of misbehavior.

The hope is that money can be traded with the verification assumption so as to be able to design truthful mechanisms without money that are (roughly) as good as those using money. The ultimate goal of this research is to advance our knowledge in this (largely) unexplored middle ground between truthfulness, approximation and money/transfers.


Note: The list below is ordered reverse-chronologically and covers all types of publications (i.e., conference papers, journal papers, technical reports, theses and maybe more).















CF969: Big data for computational finance (at University of Essex). (2018/19)

7CCSMSCF: Scientific Computing for Finance. (2019/20)


Contact Me

bart.de_keijzer at kcl dot ac dot uk

+44 020 7848 1807


King's College London
Department of Informatics,
Office BH(N)5.07,
Bush House, Aldwych
WC2B 4BG, London
United Kingdom