Summary
Sebastian Gruber is a machine learning engineer and statistician with eight years of experience focused on uncertainty quantification for trustworthy AI, particularly in high-stakes domains like cancer detection. He combines a strong theoretical grounding from a PhD in Computer Science and an MS/BS in Statistics with hands-on research and engineering roles at institutions such as DKFZ, KU Leuven, Inria, and Siemens. His postdoctoral work and Google Scholar record reflect a rigorous, math-first approach to evaluating and calibrating model predictions, while his industry experience shows he can move research into production workflows. Now at LINK2AI, he continues to bridge academic advances in uncertainty calibration with practical ML systems. An uncommon strength is his track record of collaborating across top research labs and industry teams, enabling both novel methodological contributions and deployable solutions.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Goethe University Frankfurt
Master of Science - MS, Statistics, Master of Science - MS, Statistics at Ludwig-Maximilians-Universität München