Summary
Leo Warnow is a mathematician-turned-analytics strategist with eight years’ experience bridging academic research and management consulting to deliver data-driven insurance transformations. As a McKinsey engagement lead he has driven cost and indemnity reductions and led pilots deploying Agentic (Gen)AI into claims flows for major insurers. His PhD work produced open-source algorithms for multi-objective mixed-integer optimization and publications in top operations research journals, reflecting a strong foundation in rigorous modeling and reproducible code. Now a postdoc at Johannes Kepler Universität Linz, he combines hands-on algorithm development with stakeholder-focused program delivery and clear science communication. Known for translating complex math into practical solutions, he also brings an uncommon public-facing edge from winning science slams and teaching ballroom dance classes. Based in the Linz-Wels-Steyr area, he aims to create sustainable impact through collaborative, data-first strategies and state-of-the-art AI.
8 years of coding experience
Dr. rer. nat., Mathematics, Dr. rer. nat., Mathematics at Technische Universität Ilmenau
German, English, French