2025–now
Machine Learning
University of Oxford · Oxford
Lecturer
Teaching
From mathematical analysis to machine learning and neuroscience.
University teaching, research mentoring and student supervision across mathematics, computation and neuroscience.
Teaching Experience
Teaching across mathematics, computational neuroscience and machine learning.
2022–2023
Mathematical Methods for Neuroscience
EPFL · Lausanne
Lecturer
2015–2022
Simulation Neuroscience
edX · Online
MOOC
2016–2017
Symmetry and Conservation in the Cell
EPFL · Lausanne
2012–2014
Analysis II, Advanced Analysis II & Numerical Analysis
EPFL · Lausanne
Student Supervision
Supervision of master's theses, research projects and internships.
2018–2026
Master's Theses
- Alexia Stéphanie Liviana Paratte
- Romane Cornali
- Thomas Negrello Alain Walter
- Jelena Banjac
- Marc Fersztand
- Abel Adary
- Sébastien Morand
2020–2026
Master's Projects
- Jan Zgraggen
- Mariia Vidmuk
- Ananda Sophie Wolz
- Christina Kapatsori
- Killian Rigaux
- Camille Frayssinhes
- Dmitriev Daniil
2014–2026
Internships
- Zhixin Wang
- Jeanne Sentenac
- Rebecca Elyanow
2018–2026
Doctoral Students
- Adelie Garin (Co-supervised with Kathryn Hess)
- Two doctoral students joining in 2026
Research Mentoring
Mentoring of researchers and research software engineers across computational neuroscience projects.
2023–2025
Modeling of Dendritic Electrophysiology
Darshan Mandge · Anil Tuncel · Ilkan Kilic · Aurelien Jaquier
Software Engineers · EPFL
2020–2025
Axon Synthesis
Adrien Berchet · Remy Petkantchin · Valerii Souchoroukov
Postdoctoral Researchers · EPFL
2019–2025
Neuronal Reconstructions
Ying Shi
Reconstruction Specialist · EPFL
2019–2025
Morpho-electrical Properties of Neurons
Alexis Arnaudon
Postdoctoral Researcher · EPFL
2019–2022
Machine Learning of Neuronal Morphologies
Stanislav Schmidt
Software Engineer · EPFL