Tobias Schwedes is a Principal Research Scientist based in London with 11 years’ experience applying advanced statistical and machine learning methods to real-world problems across industry and research. After a steady progression through roles at Faculty—from Data Scientist to Principal Research Scientist—he now focuses on product-facing research that bridges probabilistic modelling, optimization and deployable ML systems. His background includes a PhD in Computational Statistics from Imperial College and applied work at the Met Office and in finance, where he built predictive trading tools and bespoke sampling algorithms for physical models. Tobias combines rigorous academic training with hands-on delivery, frequently turning complex inference problems into practical, production-ready solutions. Notably, he has experience designing algorithms that estimate hidden system dynamics from partial observations—a recurring theme across his research and consulting projects.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computational Statistics, Doctor of Philosophy - PhD Computational Statistics at Imperial College London
Diplom Mathematics Minor in Physics, Diplom Mathematics Minor in Physics at Heidelberg University
Mathematics, Mathematics at University of Montpellier
Mathematics, Mathematics at The University of Freiburg
MRes Mathematics of Planet Earth, MRes Mathematics of Planet Earth at University of Reading
Contributions:1 release, 28 pushes, 1 tag in 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Tobias Schwedes - Principal Research Scientist at Faculty