Summary
Timo Klock is a Full Stack Data Scientist based in Hamburg with 10 years of experience bridging applied mathematics research and production data systems. He holds a PhD in Mathematics and Statistics and a strong background in computational mathematics, and has moved from deep-learning research roles at Simula and UC San Diego into building cloud-based data infrastructures and data-heavy web applications. As a freelance consultant and Data Team Lead at Newsec Maps he combines source research, data pipelining, modeling and enrichment to deliver end-to-end solutions for commercial real estate and other domains. Equally at home writing Python backends and designing ML models, he often tackles high-dimensional, data-scarce problems informed by his academic work on dimension reduction and numerical methods. A practical thinker who enjoys shipping production-ready data models, he leverages his research networks and cross-disciplinary experience to solve complex, real-world data challenges.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematics and Statistics, Doctor of Philosophy - PhD, Mathematics and Statistics at University of Oslo
Master of Science (M.Sc.), Computational Mathematics, Excellent, Master of Science (M.Sc.), Computational Mathematics, Excellent at University of Bremen
Norwegian, English, German