CV

I’m a cognitive scientist with a strong technical and theoretical background and more than 15 years of experience in interdisciplinary teams. I design cognitive science experiments with high precision and technical reliability using entirely free and open-source tools; openness and reproducibility are my focus. As I finish my PhD, I’m looking for a lab to host me as a postdoc, where I can work as part of a team. If you think I could be a good fit, please get in touch. Find my CV here

Education

Experience

Languages

Skills

Scientific Programming and Data Analysis Experimental Design and Neuroengineering Scientific Computing
  • Python
    • Numeric Computing: Numpy, Scipy
    • Vizualization: Matplotlib, Seaborn
    • Data Analysis: Pandas, Polars
    • MNE-Python
    • MNE-BIDS
    • MNE-Features
    • PyTorch: CNNs, GANs, VAEs
  • Julia
    • Turing
    • Flux
    • Makie
  • gTec: EEG
  • Brain Products: EEG, ECG, EDA
  • BioSemi: EEG
  • BioGraph Infiniti: Bio- and Neurofeedback
  • Bitbrain: EEG, ECG, EDA
  • Tobii Pro: Eye Tracking
  • Polar: H10, Verity Sense
  • BrainVision Analyzer
  • Experiment Design Software:
    • Psychopy
    • OpenVIBE
    • NBS Presentation
    • E-Prime
  • Lab Streaming Layer
  • Brain Imaging Data Structure (BIDS)
  • Biosignals Data Formats (XDF, EDF, BDF)
  • Advanced git and github
  • Linux: Ubuntu, Arch, NixOS
  • Docker: Docker-Swarm, Portainer
  • Distributed Computing: Dask, MPI, Distributed Julia
  • Scientific writing: Jupyter, Latex, Pandoc, Quarto

Open Source Projects

Publications

Service and leadership