About me

I am a senior postdoc with a background in electrical/biomedical engineering and computer engineering. I work at the Educational Neuroscience group at the Institute of Psychology, University of Graz, Austria.

I am interested in neuroscientific substrates of number processing and arithmetic, EEG oscillations and connectivity analysis, biomedical signal processing, applied machine learning and statistics, brain-computer interfaces, and software development. I am a big fan of open source software and I believe that science should be open as well, including data and analysis scripts. Python is my favorite language, but I also enjoy performing data analysis and statistical tests with R (thanks in particular to its awesome Tidyverse). I have also started to use Julia recently.

I maintain and develop the following larger projects:

• MNELAB, a graphical user interface for processing EEG/MEG data using MNE-Python
• SleepECG, a Python package for sleep staging using ECG (which includes a fast R-peak detector)
• HeartBeats.jl, a Pan-Tompkins R-peak ECG detector in Julia
• XDF.jl, a Julia package for reading XDF files
• SigViewer, a Qt/C++ based biosignal visualization tool
• SCoT, a Python package for EEG-based source connectivity estimation

In addition, I am part of the MNE-Python and pyXDF development teams, and I have contributed to numerous open source projects such as scikit-learn, pandas, PsychoPy, SciPy, Matplotlib, pybv, BioSig, and several smaller contributions for other projects (check out my GitHub profile for a detailed activity summary).

I mainly work on macOS, but I also like Arch Linux, for which I maintain several packages in the AUR.