Teaching

BSc & MSc level course:

Fall 2024: Ottimizzazione numerica e applicazioni all'elaborazione dei dati, jointly with Prof. Ruggiero (MSc)
Spring 2025: Matematica discreta (BSc)

Fall 2023: Machine Learning 2/Applied Machine Learning (BSc - MA30279/ MSc -MA50290)
Spring 2022, 2023, 2024: Numerical Optimisation & Large-Scale Systems (MMath-MSc - MA40050)

Spring 2018, 2019, 2021: Introduction to Wavelets (MSc)
Spring 2020: Numerical Analysis, jointly with Dr. Luca Ratti (MSc)
Fall 2018, 2019, 2020: Inverse Problems I (Convolution & Deconvolution) and II (Tomography and Regularization) (MSc)

Summer 2025: PhD Course on "Mathematics of X-ray Computed Tomography" during the Jyväskylä Summer School (University of Jyväskylä, Finland)
Fall 2023: Specialist Reading Course on "Tomographic imaging: from classical to machine learning reconstruction methods" (University of Bath, MA50183 - jointly with S. Gazzola)
Spring 2023: Hausdorff school on Data-driven Inverse Problems in Biomedical Imaging (Hausdorff Center for Mathematics, Bonn, Germany)
Spring 2023: Specialist Reading Course on "Learned Regularization for Inverse Problems in Imaging" (University of Bath, MA50183 - jointly with Y. Korolev)
Winter 2022: MIVA PhD winter school on Advanced methods for mathematical image analysis (jointly with M. Donatelli)
Spring 2019, 2021: Advanced Latex (Instructor: Prof G. Zanghirati, University of Ferrara)
Winter 2020: Microcourse on Computational Inversion (Hiroshima University, Japan, jointly with Prof. Siltanen and Dr. Ratti). Slides: PDF , more material: link
Summer 2019: Minicourse on Tomography (Summer School on Very Finnish Inverse Problems, University of Helsinki), slides: PDF 1, PDF 2, PDF 3
Spring 2019: EDUFI winter school (Lammi, Finland), slides: PDF, exercises: PDF
Fall 2017: Minicourse Introduction to linear and nonlinear tomography (Tohoku Forum for Creativity, Sendai, Japan). Material: link

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