Michael Fenton is a Principal Data Scientist with 12 years of experience translating advanced research into production-grade analytics and privacy-preserving solutions. He has moved from academic PhD work in structural engineering and evolutionary computation to industry roles building ML systems for network security and privacy-enhancing technologies. At Trūata and now Mastercard he has specialized in bridging engineering and data science to take projects from concept to general availability while advising teams on privacy-first design. His background as a lecturer and postdoc gives him a strong foundation in rigorous experimental design and reproducible analytics. Unusually for a principal-level practitioner, he combines deep optimization and algorithmic expertise from evolutionary computation with practical experience deploying ML in regulated enterprise environments. Based in Ireland, he focuses on turning complex, high-frequency data problems into operational, privacy-aware products.
12 years of coding experience
15 years of employment as a software developer
Gonzaga College
Doctor of Philosophy (Ph.D.) Engineering, Doctor of Philosophy (Ph.D.) Engineering at University College Dublin
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