Robin Duvoisin

rduvoisin[at]bluewin.ch

I am currently pursuing a Master’s degree in Neural Systems and Computation, jointly offered by ETH Zurich and the University of Zurich within the Institute of Neuroinformatics. My scientific experience ranges from developing new strategies to record neuronal activity during my research stay in California, to analysing neural signals such as EEG and LFP in humans and songbirds, and finally to investigating energy-efficient neural codes for my Master’s thesis in Bern.

My scientific experience has also shaped the way I approach research. Today, I feel that two major philosophies are becoming increasingly distinct. On one side is the top-down approach, which seeks to understand large and complex systems by collecting ever-larger datasets and building increasingly sophisticated models. Throughout my academic journey, however, I discovered that I am naturally attracted to the opposite perspective: the bottom-up approach. Rather than modelling everything at once, I enjoy isolating a specific phenomenon, introducing simplifying assumptions, and understanding the fundamental principles that govern it. In other words, I am fascinated by systems that appear simple yet hide a level of complexity.

  CV

Education

• Master’s in Neural Systems and Computation, 2023–2026
  ETH Zurich and the University of Zurich
• External Master’s Thesis in Theoretical Neuroscience, 2026
  University of Bern
• External Research Project in the Department of Bioengineering, 2025
  Stanford University, California
• Bachelor’s Exchange in Health Sciences and Technology, 2021–2022
  ETH Zurich
• Bachelor’s in Life Sciences Engineering, 2019–2022
  EPF Lausanne
• Gymnasium in Biology and Chemistry, 2016–2019
  Auguste Piccard (CH) & Albert-schweizer Schule (DE), honored with 2 prestigious student awards (Biology & Chemistry)

Scientific Contributions

• Publication, 2025
  Co-author of Sharp Waves, Bursts, and Coherence: Activity in a Songbird Vocal Circuit Is Influenced by Behavioral State , published in The Journal of Neuroscience.
• Conference, 2025
  Poster presented at the CoBrain satellite workshop of the Conference on Complex Systems , Siena, Italy.

Professional Experience

• Teaching Assistant, 2024
  Computer Vision Lab, ETHZ, 180 Students: Programming Exercises, Exam Preparation, and Corrections
• Biomechanics Engineer Intern, 2023, 3 months
  Exoskeleton-Assisted Gait Analysis in Patients with Muscular and Neurological Deficiencies. At Autonomyo sàrl employed by Dr. Ortlieb.
• Neuroscience Research Assistant Internship, 2022, 3 months
  Exploring Interarea Communication during a Birdsong Learning Task via Local Field Potential. At ETHZ supervised by Prof. Hahnloser and Corinna Lorenz in Birdsong Group.
• Mentor for first-year students, 2020-2021
  EPFL