Dr John Cartlidge
Thomson Reuters Lecturer in Data Science and Financial Informatics
Department of Computer Science, University of Bristol
Merchant Venturers Building, Room 3.39
Full contact details and vCard
I joined the Department of Computer Science at the University of Bristol in August 2017 as Thomson Reuters Lecturer in Data Science and Financial Informatics. Previously, I spent two years as Assistant Professor in Computer Science at the University of Nottingham's campus in Ningbo, China. I am a Fellow of the HEA, and visiting scholar at the University of Nottingham Ningbo China. I perform consultancy and advisory services for government and industry and have previously consulted for the UK Government and acted as expert witness for the high court and crown court in London in the area of automated trading technologies and financial systems. I have also acted as academic advisor on regulation technologies for the Financial Conduct Authority.
History: I received a first class BSc Hons in Artificial Intelligence and Mathematics (Leeds, 2000) and a PhD in Evolutionary Computation (Leeds, 2004), in the area of coevolutionary optimisation. Subsequently, I worked for the London Stock Exchange and Hewlett-Packard Labs on a collaborative research project exploring disruptive technology innovation in financial markets and effects on liquidity discovery and market impact. I then co-founded a tech start-up company offering eBay analytics software, and financial trading software including a bespoke prototype GUI for a dark-pool trading venue. Returning to academia, I completed post-doctoral research posts in Evolutionary Computation and Finance at the University of Central Lancashire, and Cloud Computing at the University of Bristol, before becoming lecturer.
I am the exams officer for the Department of Computer Science.
Please note, I am no longer study abroad academic director: contact Dr Song Liu for study abroad queries.
I am unit director on the masters-level unit: COMSM0019: Internet economics and financial technology. This unit runs during TB1 and is assessed by 100% exam.
Research and Supervision
I supervise final year projects. If you are interested in undertaking research projects in the areas of financial technology, trading technologies, or more generally in data science and machine learning, please contact.