
Professor John Cartlidge
BSc (Leeds), PhD (Leeds)
Expertise
Current positions
Professor of Financial Technology
School of Engineering Mathematics and Technology
Contact
Press and media
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Research interests
I am a computer scientist with 25 years of research experience in artificial intelligence, machine learning and data science, with specific application to financial technologies. I created University of Bristol’s award-winning MSc in Financial Technology with Data Science; I lead the Financial Engineering Lab (FEL), which is a sub-group of the federated Intelligent Systems Laboratory (ISL) research group; and I line manage 10 academic staff as Academic Team Lead. I previously worked in industry for Hewlett-Packard Research Laboratories and the London Stock Exchange; I’ve co-founded two fintech startups; and I’ve consulted for government and industry, including academic advisor for the Financial Conduct Authority; expert on trading technologies for UK’s Government Office for Science; and expert witness in automated trading for the High Court, London.
Recent grants:
- Co-I: £12m UKRI EPSRC AI Hub: AI for Collective Intelligence (AI4CI). Theme lead: financial stability. (2024-2029)
- Co-I: £1m UKRI Innovate UK collaborative R&D for trustworthy and responsible AI: Stratlib.AI - A trusted machine learning platform for asset and credit managers. Lead: University of Bristol. (2024-2025)
- PI: £150k UKRI Innovate UK and ESRC Knowledge Transfer Partnership (KTP): Claritum - Automated spend classification and analysis (2020-2023)
For more information, see my personal website.
Projects and supervisions
Research projects
8463 EPSRC EP/Y028392/1 AI For Collective Intelligence SEMT
Principal Investigator
Managing organisational unit
School of Engineering Mathematics and TechnologyDates
01/02/2024 to 31/01/2029
Claritum KTP - 11952
Principal Investigator
Description
To automate a standard industry process that is currently manual. It represents a disruptive sector change delivering lower cost higher value management information for customers.Managing organisational unit
Department of Computer ScienceDates
22/08/2019 to 31/01/2023
Thesis supervisions
Publications
Selected publications
02/04/2012Exploring the "robot phase transition'' in experimental human-algorithmic markets
Exploring the "robot phase transition'' in experimental human-algorithmic markets
Studies of Interaction Between Human Traders and Algorithmic Trading Systems
Studies of Interaction Between Human Traders and Algorithmic Trading Systems
Autonomous virulence adaptation improves coevolutionary optimization
IEEE Transactions on Evolutionary Computation
Estimating Demand for Dynamic Pricing in Electronic Markets
GSTF International Journal on Computing (JoC)
Combating coevolutionary disengagement by reducing parasite virulence
Evolutionary Computation
Recent publications
25/02/2025Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction
17th International Conference on Agents and Artificial Intelligence (ICAART)
Tennis match outcome prediction using temporal directed graph neural networks
11th MathSport International Conference Proceedings 2025
The potential and challenges of AI for collective intelligence
Collective Intelligence
DGDNN
16th International Conference on Agents and Artificial Intelligence (ICAART)
Multi-Relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)