Paul Crossley
Research Fellow & Software Developer
👋 Hi, I'm Paul. Nice to meet you!
💻 I'm a Research Fellow and Software Developer at the Predictive Analytics Lab (PAL), where I'm currently working on the LIMMMA project (Landscapes Integrative Mapping and Modelling for Multifunctional Analysis).
📍 I'm based in the North of England living with my wonderful girlfriend fiancée.
🐾 Driven mad by a crazy golden retriever named Peanut Butter. (You should check out his instagram.)
🎓 BSc (2014–2017) and MSc (2019–2020) in Computer Science from Liverpool Hope University.
🧠 I'm really passionate about machine learning — and just as curious about the ethical side of AI and technology.
🔍 I'm planning to start a PhD soon, diving even deeper into how we can build tech that's both innovative and responsible.
💬 I'm always happy to consider freelance projects — just drop me an email if you'd like to chat!
🤔 Fun fact: This website changes based on the time of day.
LIMMMA
Landscapes integrative mapping and modelling for multifunctional analysis - A tool and platform for multifunctional landscape analysis.
More about LIMMMA
HUM19
HUM19 is a standalone collection of 19th-century literature that draws on the same linguistic methodology developed for Hansard at Huddersfield. Using tools such as word frequency analysis, KWIC displays, and visualisations like word clouds, HUM19 allows users to explore patterns of language and meaning in literary texts from the period.
HUM19 is currently unavailable
Hansard at Huddersfield
Hansard at Huddersfield is a web-based interface that applies linguistic functions to the Hansard corpus, sourced from parliamentary records. It includes features such as word frequency analysis, visualisations like word clouds, and key word in context (KWIC) displays.
Hansard at Huddersfield is currently unavailable.