Teaching

• 2024 Fall - High Dimensional Approximation, Universität Heidelberg
• 2024 Fall - Theory of Deep Learning, Universität Heidelberg
• 2024 Spring - Finite elements, Universität Heidelberg, Moodle
• 2023 Fall - Einführung in die Numerik, Universität Heidelberg, Moodle (Einschreibeschlüssel wird in der ersten Vorlesung bekannt gegeben)
• 2023 Spring - Theory of Deep Learning, Universität Heidelberg, Moodle (enrolment key will be announced in first lecture)
• 2022 Fall - Numerical Methods for Bayesian Inverse Problems, Universität Heidelberg, Moodle (enrolment key will be announced in first lecture)
• 2022 Spring - High Dimensional Approximation and Applications in Uncertainty Quantification, Universität Heidelberg, Moodle
• 2021 Fall - Theory of Deep Learning, Universität Heidelberg, Moodle
• 2021 Spring - Seminar: Approximation theory for neural networks, Universität Heidelberg, Moodle
• 2020 Fall - Numerical Methods for Bayesian Inverse Problems, Universität Heidelberg
• 2020 Spring - Seminar: Approximation theory for neural networks, Universität Heidelberg
• 2018 Fall - Assistant for Numerical Analysis Seminar: Mathematics of Deep Neural Network Approximation, ETH Zürich
• 2015 - 2018 Spring - Assistant for Numerical Mathematics I, ETH Zürich
• 2017 Fall - Assistant for Numerics for Computational Uncertainty Quantification, ETH Zürich
• 2016 Fall - Assistant for Linear Algebra for electrical engineering, ETH Zürich
• 2015 Fall - Assistant for Numerical Methods for Elliptic and Parabolic Partial Differential Equations, ETH Zürich
• 2014 Fall - Assistant for Mathematics III for health sciences, ETH Zürich
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