Hub Advisory Board

The Advisory Board brings external insight and expertise to support the Erlangen AI Hub’s strategic development.

Our Advisory board

Kathryn Hess Bellwald

Kathryn is a member of the Swiss Academy of Engineering Sciences, and a fellow of the American Mathematical Society and the Association for Women in Mathematics. She has been a distinguished speaker of the European Mathematical Society, gave an invited Public Lecture at the European Congress of Mathematicians, and was awarded the Chaire de la Vallée Poussin by the Université Catholique de Louvain-la-Neuve. She is currently a member of the governing Academic Board of the Swiss National Science Foundation.

    Helmut Bölcskei

    Helmut is a Professor of Mathematical Information Science in the Department of Electrical Engineering and the Department of Mathematics at ETH Zurich. His research interests are in the mathematics of AI, applied mathematics, mathematical signal processing, data science, and statistics.

      Robert Ghrist

      Robert (Ph.D., Cornell, 1995) is the Andrea Mitchell PIK Professor of Mathematics and Electrical & Systems Engineering at the University of Pennsylvania and Associate Dean of Undergraduate Education for the School of Engineering and Applied Science. A leader in Applied Algebraic Topology, he works in sensor networks, robotics, signal processing, and data analysis. He’s an award-winning researcher, teacher, and expositor.
        B Guedj headshot

        Benjamin Guedj

        Benjamin is Professor of Machine Learning and Foundational AI at UCL and Director of Research at Inria. A leading expert in AI, machine learning, statistics and probability, he has authored 70+ papers, supervised eight PhDs, and shaped Franco-British scientific collaboration. He is an ELLIS Fellow, Turing Fellow, and Knight of the Academic Palms of the French Republic.

          Danica Kragic

          Danica is a Professor at the KTH Royal Institute of Technology in Stockholm, performing research in robotics, computer vision and machine learning. She has been awarded ERC Consolidator, ERC Advanced and ERC Synergy Grants.

            Guido Montufar

            Guido is Professor of Mathematics and Statistics & Data Science at UCLA and leads the Math Machine Learning group at the Max Planck Institute MiS. With a background in both mathematics and physics, his research has opened new perspectives on modern machine learning and the mathematics of data science, earning recognition through awards such as an ERC Starting Grant, an NSF CAREER Award, and a Sloan Research Fellowship.