Summary
Marcus Williamson is a founder and data-driven strategist who leverages a mathematics background and a decade in finance and data science to transform human services through AI. He founded elyndra to bring meso-level governance and machine learning to children's care, turning decades of unstructured case notes into actionable, person-centered insights without replacing professional judgement. Previously a portfolio manager on a $10bn macro/derivatives fund and a junior data scientist, he combines quantitative rigor with operational experience in care provision and recruitment. Marcus advises on AI strategy across the GCC and sits on the Safe AI For Children Alliance board, reflecting his focus on responsible deployment for vulnerable populations. He’s pragmatic about technology’s limits: enthusiastic about AI’s ability to surface patterns at scale, but vocal about guarding against harmful implementations. His uncommon blend of finance, hands-on care-sector ties, and ethics-first AI gives him rare credibility in a field that usually separates data science from front-line practice.
10 years of coding experience
5 years of employment as a software developer
City and Financial Services - Evening Course Economics, City and Financial Services - Evening Course Economics at City St George’s, University of London
Coursera - MOOC Machine Learning (Data Science), Coursera - MOOC Machine Learning (Data Science) at Johns Hopkins University School of Education
Professional Trading Masterclass Investments and Securities, Professional Trading Masterclass Investments and Securities at Institute of Trading and Portfolio Management
Bachelor's Degree Mathematics, Bachelor's Degree Mathematics at University of Bath
Further Mathematics Mathematics Economics, Further Mathematics Mathematics Economics at EIC (Marbella, Spain)
English, Spanish