Summary
Thomas Melistas is an Assistant Manager in Data & AI at EY with eight years of experience translating advanced mathematical training into practical, high-impact analytics for healthcare, finance, and life sciences clients. He holds a PhD in Mathematics from the University of Georgia and an MSc from Imperial College London, and applies probabilistic modeling, Bayesian methods, and machine learning to deliver cloud-based solutions and policy-informing macroeconomic simulations. At EY he has built MMX modeling platforms, developed survival and health-economics models presented to government stakeholders, and delivered segmentation and cross-sell analytics for major banks and FTSE/DAX clients. Comfortable in both Python and R ecosystems and familiar with tools from Palantir Foundry to R Shiny and Plotly Dash, he bridges rigorous research methods with production-ready tooling. Known for clear client communication and award-winning teaching experience, he combines academic depth with pragmatic delivery across regulated industries.
8 years of coding experience
Graduation Diploma, Technological stream, 19.1/20, Graduation Diploma, Technological stream, 19.1/20 at Unified Senior High School of Akrata
University of Georgia
Msc in Pure Mathematics, Mathematics, Merit, Msc in Pure Mathematics, Mathematics, Merit at Imperial College London
Bachelor's degree, Mathematics, 9.09/10, Bachelor's degree, Mathematics, 9.09/10 at University of Patras
English, French, Greek