2024
2022-2023
2021
2020-2021
2019
2015
2012-13, 2013-14, 2014-15
2013-14
- MTH6101 Introduction to Machine Learning, Queen Mary University of London (with Hugo Maruri-Aguilar)
2022-2023
- MTH6101 Introduction to Machine Learning, Queen Mary University of London
- BUSM131 Masterclass in Business Analytics (IT Classes). Jointly with Guven Demirel and Linus Wunderlich, Queen Mary University of London
2021
- Online tutorial on Classical vs Data-Driven Regularization Methods in Imaging, within the MATH+ Thematic Einstein Semester on "Mathematics of Imaging in Real-World Challenges". Jointly with Andreas Kofler
2020-2021
- Mentoring of master student, Kathrin Völkner (Humboldt University of Berlin)
Thesis title Optimal control of a class of nonsmooth semilinear elliptic PDEs
2019
- Advanced Topics in Optimization: Mathematical Image Processing, graduate course, Humboldt University of Berlin. Jointly with Michael Hintermüller
- Mentoring of intern master student Benoit Vignaud (Claude Bernard University of Lyon)
Thesis title: Selection of the regularisation function in a weighted Huber-total variation model - Mentoring of master student Clemens Sirotenko (Humboldt University of Berlin)
Thesis title: Optimal choice of spatially adaptive parameters in total generalized variation via bilevel optimization with applications to Fourier inpainting
- Mentoring of master student Richard Young (Humboldt University of Berlin)
Thesis title: A comparison of a R-regularized Newton method and a proximal alternating linearized minimization scheme for sparse image recontruction
2015
- Image Processing - Variational and PDE Methods, Part III graduate course, University of Cambridge, (teaching assistant)
2012-13, 2013-14, 2014-15
- Analysis II, undergraduate course, University of Cambridge, (teaching assistant)
2013-14
- Linear Analysis, undergraduate course, University of Cambridge, (teaching assistant)