๐ About Me
I'm an AI Researcher working on a Knowledge Transfer Partnership (KTP) between the University of Liverpool and Carpenters Group. I build explainable AI decision-support systems, specialising in multi-agent Large Language Model frameworks, computational argumentation, and natural language processing. Previously, I was a Postdoctoral Research Associate at the University of Liverpool, where I investigated the persuasiveness of LLMs. I hold a PhD in Computer Science (funded by EPSRC and Dstl), where I designed, built and tested AI tools for hypothesis generation and evaluation within intelligence settings, and an MEng in Mechanical Engineering -- both from the University of Liverpool.
๐ผ Employment
KTP between Carpenters Group & University of Liverpool
March 2026-Present
Department of Computer Science, University of Liverpool
January 2025-February 2026
๐ Education
- Computer Science, PhD -- University of Liverpool (2020-2024)
- Designed, developed and tested AI tools and algorithms for decision- and reasoning-support for intelligence analysts, focusing on hypothesis generation and evaluation.
- Funded by the EPSRC Centre for Doctoral Training in Distributed Algorithms and Dstl.
- Supervised by Katie Atkinson, Simon Maskell, Chris Reed, and Todd Robinson.
- Thesis: Distributed Hypothesis Generation & Evaluation
- Mechanical Engineering, MEng -- University of Liverpool (2016-2020)
๐ Papers
- 2026
- J. Robinson, A. R. Williams, K. Atkinson, A. G. Cohn. Validating Political Position Predictions of Arguments. Pre-print. (arxiv)
- 2024
- J. Robinson. Distributed Hypothesis Generation and Evaluation. PhD Thesis, University of Liverpool. 2024. (.pdf)
- J. Robinson, K. Atkinson, S. Maskell, C. Reed. On Diagnostic Arguments in Abstract Argumentation. In Proc. of COMMA. 2024. (.pdf)
- J. Robinson, K. Atkinson, S. Maskell, C. Reed. Identifying Diagnostic Arguments in Abstract Argumentation. In Proc. of COMMA. 2024. (.pdf)
- 2022
- L. Bengel, E. Bezou-Vrakatseli, L. Blümel, F. Castagna, G. D'Agostino, D. Odekerken, M. S. Patil, J. Robinson, H. Wu, A. Xydis. Online Handbook of Argumentation for AI: Volume 3. 2022. (.pdf)
- 2021
- J. Robinson. Distributed Hypothesis Generation and Evaluation. JURIX Doctoral Consortium 2021. ๐ Best Student Paper (.pdf)
๐ฃ๏ธ Public Engagements
- Starting a PhD During a Pandemic -- an article I wrote for the EPSRC CDT in Distributed Algorithms about my experience beginning a doctorate during COVID-19.