Summary
Paul Crossley is a research-focused software engineer and PhD student at the University of Sussex with eight years’ experience building full‑stack web applications and GIS tools for land‑use and carbon modelling. He is the main developer on the LIMMMA platform, combining Ruby on Rails, Python, PostgreSQL and QGIS to visualise complex land‑use trade‑offs for projects in Indonesia and with Kew/Wakehurst. His background spans applied research and product delivery—from a linguistic search interface for the Hansard corpus to NHS recruitment systems where he prototyped an ML/NLP rota parser. Paul’s work sits at the intersection of academic research and practical tooling, and his PhD will push LIMMMA further by integrating novel machine learning approaches for “what‑if” scenario modelling. Based in Wealden, England, he is not seeking full‑time roles but is open to freelance or consulting work that leverages his niche blend of GIS, ML ambition and production engineering. An unusual strength is his track record of turning research questions into user-facing web tools that directly inform policy decisions.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Advanced Computer Science, Distinction, Master of Science - MS, Advanced Computer Science, Distinction at Liverpool Hope University