During my stay at Università della Svizzera italiana (USI), I have co-supervised (senior advisor Prof. R. Krause) several junior researchers and served as a teaching assistant and substitute lecturer.
Lecture list (substitute lecturer):
02/2022 – 06/2022
Solution and Optimization Methods for Large Scale Problems (MSc/Ph.D.)
Lecture list (teaching assistant):
02/2019 – 07/2019
Solution and Optimization Methods for Large Scale Problems (MSc/Ph.D.)
09/2018 – 01/2019
Calculus (BSc)
08/2018
Functional and Numerical Analysis (MSc/Ph.D.)
02/2018 – 07/2018
Multiscale methods (MSc/Ph.D.)
02/2017 – 07/2017
Optimization methods (BSc)
09/2016 – 01/2017
Enterprise Resource Planning (MSc)
Co-supervised Bachelor theses (BSc in Informatics):
09/2021 – 02/2022
Stefano Gonçalves, Implementation of a hybrid data-parallel algorithm for neural network training with reduced communication targeted to GPU-based supercomputers
09/2020 – 07/2021
Filippo Cesana, Python Front-End for Utopia with Algorithmic Implementations Related to Financial Machine Learning , together with Dr. P. Zulian (USI)
Co-supervised Master theses (MSc in Mathematics/Computational Science):
01/2023 –
Marc Salvado, Multilevel approaches for enhancing the training of transformers
09/2021 – 03/2022
Andrea Angino, Knight descent - a parallel stochastic method for non-linear optimization problems, together with Prof. M. Donatelli (Insubria, Como, Italy)
09/2019 – 09/2020
Samuel Cruz, Learning multilevel hierarchies
09/2019 – 07/2020
Vanessa Braglia, Multilevel training for neural networks
Co-mentored Ph.D. students:
01/2021 –
Samuel Cruz, Domain decomposition methods and deep-learning
Co-supervised student assistants/interns:
02/2022 –
Marc Salvadó, Layer parallel training of transformers
07/2021 – 10/2021
Francesco Lacommare, Multilevel variant of Adam optimizer
06/2020 – 10/2021
Filippo Cesana, Python interface for UTOPIA, together with Dr. P. Zulian (USI)
06/2020 – 05/2021
Dylan Ramelli, xSDK integration for UTOPIA, together with Dr. P. Zulian (USI)
08/2020 – 01/2021
Nicholas Robertson, Domain decomposition and machine learning
06/2019 – 12/2020
Lisa Gaedke-Merzhauser, Multilevel training of deep residual networks
01/2019 – 09/2020
Samuel Cruz, Learning multigrid transfer operators using reinforcement learning
06/2019 – 07/2020
Vanessa Braglia, Multilevel variance reduction methods
06/2016 – 12/2016
Eric Botter, Continous integration using CDash