Tim Ruhkopf is a PhD student in Computer Science at Leibniz University Hannover with eight years of experience applying statistics and machine learning to real-world problems. He specializes in AutoML—particularly Bayesian and multi-fidelity optimization—and is currently working on Prior Fitted Networks, a transformer variant for efficient LLM design. His background (MSc Applied Statistics, BSc Economics) and industry stints—from Deutsche Bank analytics to asset-liability modelling—give him a rare blend of rigorous probabilistic modeling and practical, cost-aware solution design. Tim excels at translating research ideas into measurable project milestones, pairing technical depth with strong project management and teaching-honed communication. Sportive and creative by nature, he emphasizes precise problem formulation as the key to impactful, scalable AI systems.
8 years of coding experience
Ph.D Student, Computer Science, Ph.D Student, Computer Science at Leibniz University Hannover
Master of Science - MS, Applied Statistics, 1.3, Master of Science - MS, Applied Statistics, 1.3 at Georg-August-Universität Göttingen
Contributions:5 PRs, 125 pushes, 21 branches in 1 year
explainable-aigambayesianmachine-learning
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
Tim Ruhkopf - PhD Student at Leibniz Universität Hannover