Prof. Dr. Joachim Giesen
ELLIS unit Jena, Member
Professor for Theoretical Computer Science in the Department of Theoretical Computer Science at the Friedrich Schiller University Jena
Joachim is professor for theoretical computer science at Friedrich-Schiller-University Jena. A computational geometer by training at ETH Zurich, The Ohio State University and the Max-Planck Institute for Informatics, his research interests have shifted over the last decade to algorithm engineering for machine learning and AI.
He was the coordinator of the FP7 European project computational Geometric Learning. Currently, he is a project leader in the DFG priority program on Algorithms for Big Data, and the coordinator of a research training group on Interactive Inference that is funded by the Carl-Zeiss-Stiftung within the program Scientific Breakthroughs in Artificial Intelligence.
In his work, he aims at developing techniques that are equipped with mathematical guarantees as well as highly efficient implementations for contemporary hardware. A good example is his work with Soeren Laue on generic optimization.
Phone: +49 3641 9-46322