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I am a senior postdoctoral researcher with a background in electrical/biomedical engineering and computer engineering. I work in the Talent and Learning Research group at the Department of Psychology at the University of Graz, Austria.
My research focuses on the neuroscientific foundations of number processing and arithmetic, EEG oscillations and connectivity analysis, biomedical signal processing, applied machine learning and statistics, brain-computer interfaces, and scientific software development. I am strongly committed to open science and open source, including the open availability of data and analysis code to promote reproducibility. In addition, I have extensive experience teaching Python and R in academic settings, including courses and workshops on data analysis, statistics, and scientific computing.
I maintain and develop several open-source projects, most notably:
- MNELAB – a graphical user interface for EEG/MEG data processing
- SleepECG – a Python package for ECG-based sleep staging
- HeartBeats.jl – a Julia implementation of the Pan-Tompkins R-peak detection algorithm
- XDF.jl – a Julia package for reading XDF files
- SigViewer – a Qt/C++-based tool for biosignal visualization
- SCoT – a Python package for EEG source connectivity estimation
In addition, I am a member of the development teams for several open-source projects, notably MNE-Python, pybv, and pyxdf. I have also contributed to a range of other projects, including scikit-learn, pandas, IPython, PsychoPy, SciPy, Matplotlib, and BioSig, among others.
You can find my recent work and activity on GitHub and Mastodon. Feel free to contact me via email if you want to get in touch.