Sandra Keiper

Sandra Keiper is a Lecturer at the Institute of Mathematics within Faculty II - Mathematics and Natural Sciences at Technical University of Berlin. She has held academic positions since at least 2011, including roles as Tutor, Assistant, and Lecturer, with teaching responsibilities in Analysis, Linear Algebra, and Partial Differential Equations for both mathematicians and engineers.

Research interests include:

• Compressed Sensing and Sparse Signal Recovery
• Numerical Linear Algebra with applications to high-dimensional data
• Wavelet and curvelet transforms for geometric multiscale analysis
• Approximation theory for finite-valued and cartoon-like functions
• Deep learning and graph approximation techniques

Professional activities:

• Active in teaching since 2011 (Analysis I-III, Functional Analysis, Integral Transforms)
• Supervising theses since 2015 on topics like Compressed Sensing and Deep Learning
• Invited lectures at Caltech, ETH Zurich, and Alan Turing Institute
• Research stays at Hausdorff Institute, ETH Zurich, and Duke University