Philip Osborne is a Postdoctoral Researcher and AI specialist with nine years' experience spanning academic research, industry analytics and entrepreneurial open-source development. He holds a PhD in Artificial Intelligence from the University of Manchester and founded elsciRL, a PyTorch-based framework that applies LLM agents to reinforcement learning and has led to a US patent filing and EMNLP systems demo submission. Philip combines practical data-analyst experience at firms like Aon Hewitt with a strong teaching pedigree as a guest lecturer at Manchester and Oxford and seven years of private maths tutoring. A two-time Google award winner on Kaggle and recipient of a university commercialisation prize, he focuses on reproducible offline RL methods, iterative LLM refinement, RAG and RLHF. Based in Manchester, he blends rigorous theoretical work with production-minded tooling and a knack for translating thesis ideas into usable research software.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at The University of Manchester
Data Science MSc, Mathematics and Computer Science, Merit, Data Science MSc, Mathematics and Computer Science, Merit at City University London
St. Edwards Oxford
Mathematics BSc, Mathematics, 2:1, Mathematics BSc, Mathematics, 2:1 at University of Reading
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Philip Osborne - Postdoctoral Researcher at University of Bath