Summary
Jamie Hayes is a research scientist based in the Greater Cambridge area with a decade of experience at the intersection of security, privacy, and machine learning. Trained in mathematics (MSc, First Class) and computer science research at the University of Cambridge, Jamie blends rigorous theoretical grounding with practical security research. Their work emphasizes principled ML approaches to real-world privacy and threat models, often translating complex proofs into actionable system insights. Known in both academic and practitioner circles, Jamie combines deep quantitative skills with hands-on experimentation, making them adept at bridging lab research and deployable security solutions.
10 years of coding experience
Master's degree, Mathematics, First Class with Honours, Master's degree, Mathematics, First Class with Honours at The University of Manchester
Researcher, Computer Science, Researcher, Computer Science at University of Cambridge
Spanish