ICBS Frontier of Science Award in Mathematics, with Jiequn Han and Weinan E, 2024
Fellow, Lamarr Institute, Ministry of Culture and Science of North-Rhine Westphalia, 2023
ERC Consolidator Grant, European Research Council, 2022
Joseph F. Traub Prize for Achievement in Information-Based Complexity, 2022
Felix Klein Prize, European Mathematical Society (EMS), 2020
Research Experience
2021–present: Presidential Chair Professor, School of Data Science, The Chinese University of Hong Kong, Shenzhen
2019–present: Full Professor, Faculty of Mathematics and Computer Science, University of Münster
2012–2019: Assistant Professor for Applied Mathematics, Department of Mathematics, ETH Zurich
2011–2012: Research Fellowship (German Research Foundation), Program in Applied and Computational Mathematics, Princeton University
2009–2010: Assistant Professor (Akademischer Rat a.Z.), Faculty of Mathematics, Bielefeld University
Education
2007-2009: PhD in Mathematics (summa cum laude), Faculty of Computer Science and Mathematics, Goethe University Frankfurt
2004-2007: Diploma in Mathematics (passed with distinction), Faculty of Computer Science and Mathematics, Goethe University Frankfurt
2003: Germany university entrance qualification (Abitur, grade: 1.0), Ernst-Reuter-Schule 1, Frankfurt am Main
Background
Research interests include dynamical systems and gradient flows, analysis of partial differential equations, stochastic analysis, machine learning, and numerical analysis. Professional fields cover applied mathematics, data science, etc.
Miscellany
PhD students and postdoctoral researchers interested in joining his research group at the Chinese University of Hong Kong, Shenzhen in China and at the University of Münster in Germany are welcome to contact him via email at ajentzen (at) cuhk.edu.cn or ajentzen (at) uni-muenster.de. He is especially interested in candidates with a strong background in differential geometry, dynamical systems, algebraic geometry, functional analysis, analysis of partial differential equations, or stochastic analysis.