# Teaching

I taught Introduction to Nonlinear Spectral Analysis with Leon Bungert at the University of Cambridge in 2022 and Inverse Problems in 2018-2021 with Jonas Latz and Hanne Kekkonen. Lecture notes of the Inverse Problem course are available from the course web page. I also taught different courses related to Analysis in Moscow, and Linear Algebra in Lübeck (under Jan Modesitzki).

I am co-supervising (with Carola-Bibiane Schönlieb) the PhD thesis of Tamara Grossmann.

Here is the list of students I supervised in the past.

- L. Meng (University of Cambridge, 2022). Now PhD student at University of Copenhagen

“Plug-and-Play regularisation for image reconstruction in lightsheet microscopy”. Summer research project. Co-supervision with Jerome Boulanger (MRC Laboratory of Molecular Biology) and Leila Muresan (Cambridge Advanced Imaging Centre); - D. Boutros, T. Gaskin, O. de Wit (University of Cambridge, 2022).

“Physics-informed neural networks for finding weak solutions of PDEs”. Short research project within the course “From Computation to Information” for 1st year PhD students. Co-supervision with Lisa Kreusser (University of Bath); - E. Young, J. Wornbard (University of Cambridge, 2021). E. Young now PhD student at University of Cambridge

“Path detection in light microscopy images using optimal transport”. Summer research project. Co-supervision with Jerome Boulanger (MRC Laboratory of Molecular Biology), Marcello Carioni (University of Twente), and Leila Muresan (Cambridge Advanced Imaging Centre); - E. Redmond (University of Cambridge, 2019). Now PhD student at the University of York

“Investigating the stability of image reconstruction networks using dynamical systems”. Summer research project. Co-supervision with Rihuan Ke (University of Cambridge) and Kostas Zygalakis (University of Edinburgh); - H. Kremer (University of Cambridge, 2018). Now PhD student at MPI Intelligent Systems, Tübingen

“Deblurring with imperfectly known blurring kernels and applications in lightsheet microscopy”. Summer research project. Co-supervision with Leila Muresan (Cambridge Advanced Imaging Centre); - X. Wang, R. Velozo Ruiz (University of Cambridge, 2018). Continue at the University of Cambrudge

“Data-driven nonsmooth optimisation”. Short research project within the course “From Computation to Information” for 1st year PhD students. Co-supervision with Ozan Öktem (KTH Stockholm); - C. Stollenwerk (University of Münster, 2018). Now consultant at Ernst&Young, Hamburg

“Total Variation based regularisers for image reconstruction”. Masters thesis; - F. Kastner (University of Lübeck, 2017). Now PhD student at University of Lübeck

“Non-parametric approaches to image reconstruction”. Bachelor thesis. Co-supervision with Jan Lellmann; - A. Gorokh (Moscow State University, 2015). Now PhD student at Cornell University

“Diffusion tensor imaging with deterministic error bounds”. Graduate level research project. Co-supervision with Tuomo Valkonen.