Professional Appointments
25|04 - now: Erwin Schrödinger postdoctoral fellow, Johannes Kepler University Linz
24|09 - 25|03: Erwin Schrödinger postdoctoral fellow, University of Alberta
24|04 - 24|08: Erwin Schrödinger postdoctoral fellow, University of Münster
22|04 - 24|03: Research Assistant, University of Passau
21|10 - 22|03: Research Assistant, University of Graz
20|10 - 21|09: Research Assistant, Johannes Kepler University Linz
20|02 - 20|09: Research Assistant, University of Graz
19|10 - 20|01: Research Assistant, Johannes Kepler University Linz
18|12 - 19|09: Student researcher, Johannes Kepler University Linz
Education
22|05: Dr. rer. nat. (Doctor of natural sciences) in Mathematics, University of Passau
19|09: Dipl.-Ing. (~ MSc.) in Mathematics for the Natural Sciences, Johannes Kepler University Linz
18|09: BSc. in Technical Mathematics, Johannes Kepler University Linz
Research Visits (≥ 2 weeks)
24|01: invited by Elisabeth Werner, Hausdorff Research Institute of Mathematics
22|11: invited by Christoph Thäle, Ruhr-University Bochum
22|02 - 22|04: invited by Elisabeth Werner, Case Western Reserve University
25|06: "Strange shadows of lp-balls", Analysis & Probability Seminar, University of Passau
25|03: "Minimal dispersion on the sphere", Functional Analysis Seminar, University of Alberta
24|12: "Strange shadows of lp-balls", Rainwater Seminar, University of Washington
24|11: "Strange shadows of lp-balls", 2024 CMS Winter Meeting, Kwantlen Polytechnic University
24|10: "Covering completely symmetric convex bodies", Functional Analysis Seminar, University of Alberta
24|09: "Covering completely symmetric convex bodies", Analysis and Probability Seminar, Case Western Reserve University
24|08: "Covering completely symmetric convex bodies", Analysis Seminar, University of Waterloo
24|08: "Entropy numbers of finite-dimensional Lorentz space embeddings", 16th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (MCQMC 2024), University of Waterloo
24|07: "Entropy numbers of finite-dimensional Lorentz space embeddings", Multivariate approximation, discretization and sampling recovery, Isaac Newton Institute for Mathematical Sciences, Cambridge Video
24|07: "Random vertex detection and the size of typical cells", Colloquium on Mathematical Statistics and Stochastic Processes, University of Hamburg
24|05: "(Non-)central limit theorems for holes in random inscribed polytopes", Research Seminar in Probability and Geometry, Ruhr-University Bochum
24|05: "The geometry of random linear recovery", Seminar in Optimization and Data Analysis, Technical University of Munich
24|05: "Faces of random inscribed polytopes", Spatial Stochastics in High Dimensions, University of Osnabrück
24|02: "Lineare Approximation mit zufälligen Messungen", 33rd Rhein-Ruhr-Workshop, Bestwig
24|01: “Critical intersection volumes of (Schatten) p-balls”, Winter School on Geometry and Probability, Hausdorff Research Institute for Mathematics, Bonn Video
23|10: “Random vs. optimal information for L2 -approximation in Hilbert spaces”, Analysis Seminar, Johannes Kepler University Linz
23|09: “A probabilistic approach to Lorentz balls”, Meeting of the Austrian Mathematical Society, University of Graz
23|09: “A probabilistic approach to Lorentz balls”, 11th Austrian Stochastics Days, University of Klagenfurt
23|08: “Large holes in large point sets”, Dagstuhl Seminar “Algorithms and Complexity for Continuous Problems”, Dagstuhl
23|06: “The power of random information: recent results”, Semi-plenary in workshop “Information-Based Complexity” at FoCM 2023, Sorbonne University
23|03: “A probabilistic approach to Lorentz balls”, Workshop “Random discrete structures”, University of Münster
23|03: “Random approximation of convex bodies in Hausdorff distance”, German Probability and Statistics Days, University of Duisburg-Essen
23|02: “Mit dem Zufall Bilder zeichnen und Mittelwerte finden”, 2nd PYREC colloquium, University of Passau
23|01: “Numerical approximation and integration on the sphere”, Research Seminar Analysis, Technical University Chemnitz
22|10: “Random approximation of convex bodies in Hausdorff distance”, Conference “Approximation and geometry in high dimensions”, Polish Academy of Sciences, Bȩdlewo
22|09: “Random approximation of convex bodies in Hausdorff distance”, 10th Austrian Stochastics Days, University of Vienna
22|07: “The power of random information for recovery in ℓ2 ”, 15th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (MCQMC 2022), Johannes Kepler University Linz
22|07: “Random vs. optimal sections of ℓp -ellipsoids”, Research seminar on probability and geometry, Ruhr University Bochum
22|06: “The power of random information for function approximation on manifolds”, Curves and Surfaces 2022, Arcachon
22|03: “Isotropic discrepancy: the gap between order and chaos”, Analysis and Probability seminar, Case Western Reserve University
22|01: “A characterization of optimal points for integration on Riemannian manifolds”, Optimal Point Configurations on Manifolds, The Erwin Schrödinger International Institute for Mathematics and Physics Video
21|12: “Random information for recovery in L2 ”, International workshop “Approximation and Matrix Complexity” organized by Laboratory “High-dimensional approximation and applications”, Lomonosov Moscow State University (online) Video
21|09: “Random sections of p-ellipsoids and optimal recovery”, 9th Austrian Stochastics Days, University of Leoben
21|09: “Random sections of p-ellipsoids, optimal recovery and Gelfand numbers of diagonal operators”, German Probability & Stochastics Days, University of Mannheim (online)
21|08: “Recovery of Sobolev functions restricted to iid sampling”, 13th International Conference on Monte Carlo Methods and Applications (MCMC 2021), University of Mannheim (online)
20|10: “(Non-)optimal Point Sets for Numerical Integration”, Workshop “Combinatorial and Geometric Discrepancy”, Banff International Research Station (online)
20|07: “Uniform Distribution on the Sphere and the Isotropic Discrepancy of Lattice Point Sets”, Point Distributions Webinar (online) Video
Teaching at University of Passau
23|fall
Introduction to Information-based Complexity and Compressed Sensing
23|spring
Convex geometry and applications to linear programming
22|fall
Analysis II (exercise class)
Introduction to stochastics (exercise class)
22|spring
Analysis I (exercise class and review course)
Teaching at Johannes Kepler University Linz
2021-04-23 Workshop for highschool students on “Heat transfer on graphs”, Young Scientists for Mathematics
20|fall
Mathematics for Mechatronics III (exercise class)
19|fall
Mathematics for AI I (exercise class)
Supervision of students
Marco Krause, BSc., Das Haar-Maß und Kashins Zerlegung von ℓ1, University of Passau, 2023 - co-supervised with Prof. Dr. Joscha Prochno