Summary
Lorenz Feineis is a Research AI Engineer at the German Cancer Research Center with nine years of hands-on experience in applied mathematics, scientific computing, and machine learning. Trained with an M.Sc. in Scientific Computing from Heidelberg, he blends strong analytical foundations with practical software skills across Python, MATLAB, C++, SQL and automation tooling. His background includes algorithmic research on combinatorial optimization, dataset creation and transformation, and reproducible evaluation pipelines—work that bridges literature review, experimental planning and production-ready implementation. Lorenz thrives in team settings where communication and iterative idea sharing drive solutions, a trait reinforced both in collaborative research projects and as a competitive volleyball player. He is a self-directed learner who routinely acquires new tools to close the gap between theory and application, for example tailoring open-source solvers and automating large-scale testing workflows. Based in Heidelberg, he focuses on translating mathematical rigor into impactful AI solutions for biomedical research.
9 years of coding experience
Master of Science - MS, Scientific Computing, 1,5, Master of Science - MS, Scientific Computing, 1,5 at Ruprecht-Karls-Universität Heidelberg