CV
A high-level overview of experience, education, and selected academic activity.
Summary
I work at the intersection of data science, machine learning, and systems. My background combines mathematics, computer science, and computational neuroscience, with a focus on building reproducible analysis pipelines and practical tools.
Work Experience
- University of Strasbourg
Strasbourg, France · since 2024 - University of Bonn
Bonn, Germany · 2020–2022 - Frankfurt Institute for Advanced Studies
Frankfurt, Germany · 2018–2019 - University of Freiburg
Freiburg, Germany · 2012–2017
Education
- PhD — Computer Science (2017)
KTH - Royal Institute of Technology, Stockholm, Sweden
PhD — Computational Neuroscience (2017)
University of Freiburg, Freiburg, Germany - Master's — Mathematics (2010)
University of Bordeaux, Bordeaux, France
University of Padova, Padova, Italy - Bachlor's — Mathematics (Physics minor)
Debub University, Hawassa & Dilla, Ethiopia
Selected Conferences & Workshops
Upcoming
- How can spiking networks remain resilient under degeneration?
- Dynamic functional connectivity resolves brain integration-segregation trade-off under costly links
Past
- dFC correlates with cognitive resilience.Poster
- Structural control of SNN degenerationTalk
- Activity resilience to degenerationPoster
- Why resting state must be restlessly dynamic?Poster
- Degeneration on controllability and dynamicsSlides
- Relevance of topology on SNNsPoster talk
- Basics on ML: supervised & unsupervised learningSlides
More (earlier conferences)
- Controllability of complex systems
- Data mining and modeling
- Dynamic networks and computations
- Computation in neurons and networks
Teachings and tutorials
- recent
- earlier