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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
    Data Scientist and Researcher
    Strasbourg, France · since 2024
  • University of Bonn
    Data Scientist and Researcher
    Bonn, Germany · 2020–2022
  • Frankfurt Institute for Advanced Studies
    Data Scientist and Researcher
    Frankfurt, Germany · 2018–2019
  • University of Freiburg
    Data Scientist and Researcher
    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
  • Bachelor's — Mathematics (Physics minor)
    Debub University, Hawassa & Dilla, Ethiopia

Selected Conferences & Workshops

  • CNS26
    Halifax, Canada · July 12-15, 2026
    • Integration-segregation trade-off under costly linksSlides
      Talk · July 15
    • Integration-segregation trade-off under costly linksPoster
      Poster · July 13
    • How can spiking networks remain resilient under degeneration?Poster
      Poster · July 12
  • OHBM26
    Bordeaux, France · June 17-18, 2026
    • dFC correlates with cognitive resiliencePoster
  • Brainnet
    Stockholm, Sweden · May 25, 2026
    • Structural control of SNN degenerationSlides
More (earlier conferences)
  • Activity resilience to degenerationPoster
    CNS25 · Florence, Italy · July 07, 2025
  • Why must resting state be restlessly dynamic?Poster
    OHBM25 · Brisbane, Australia · June, 2025
  • Degeneration on controllability and dynamicsSlides
    Unistra · Strasbourg, France · June 13, 2024
  • Relevance of topology on SNNsSlides
    Cosyne21 · Virtual, COVID · February 26, 2021
  • Basics on ML: supervised & unsupervised learningSlides
    Uni-Bonn · Bonn, Germany · April 03, 2020
  • Controllability of complex systems
    Uni-Economics · Prague, Czechia · 2015
  • Data mining and modeling
    UC-Berkeley · Berkeley, USA · 2015
  • Dynamic networks and computations
    Uni-Catania · Lipari, Italy · 2013
  • Computation in neurons and networks
    Princeton Uni. · Princeton, USA · 2012

Teaching and Tutorials

  • Recent
    Network theory, Quantitative Methods, Programming in Python
  • Earlier
    Applied Math, Linear Algebra, Modern Algebra, Geometry, Number Theory