Summary
Phoenix Williams is a Responsible AI Specialist and Senior Data & ML Research Scientist with a PhD in Machine Learning and eight years’ experience building and stress-testing AI for high-impact, regulated environments. They bridge academic rigor—publishing at NeurIPS, CVPR, TMLR and The Lancet Digital Health—with enterprise practice, having led robustness, fairness and explainability evaluations across medical imaging, genomics, text and tabular data. At GSK they developed a novel black-box adversarial evaluation for explainability methods, and now apply those guardrails to banking-scale AI at Lloyds. Phoenix combines optimisation-driven research on DNN safety with hands-on threat modelling and governance design, and brings an uncommon mix of evolutionary-algorithm expertise and operational deployment experience. Based in Stony Stratford, they pair technical depth with leadership honed as a university club president who doubled membership and drove competitive success.
8 years of coding experience
4 years of employment as a software developer
A-Levels, A-Levels at Ysgol Gyfun Ystalyfera
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at University of Exeter