I am currently pursuing a Master's degree in Neural Systems and Computation, jointly offered by the Swiss Federal Institute of Technology Zurich (ETHZ) and the University of Zurich (UZH) within the Neuroinformatics Department. My academic journey has been rooted in data-driven neuroscience, starting with EEG recording and advancing to local field potential (LFP) analysis. A pivotal experience occurred during the Bioelectronics and Biosensors course taught by Professors Vörös, Fatih, and W. von der Behrens. I particularly enjoyed this lecture because it struck a perfect balance between analyzing neural signals and modeling the physics underlying the principles of neuron recording. I realized I wanted to deepen my theoretical background in areas such as Complex Networks, Information Theory, and Models of Computation to better explore the dynamics behind neural computation.

  CV

Education

  • Master in Neural Systems and Computation, 2023-Now
    Swiss Federal Institute of Technology Zurich / University of Zurich
  • Bachelor's exchange Student in Health Sciences and Technology, 2021-2022
    Swiss Federal Institute of Technology Zurich (ETHZ)
  • Bachelor in Life Sciences Engineering, 2019-2022
    Swiss Federal Institute of Technology Lausanne (EPFL)
  • Gymnasium in Biology and Chemistry, 2016-2019
    Auguste Piccard (CH) & Albert-schweizer Schule (DE), honored with 2 prestigious student awards (Biology & Chemistry)

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