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I am a senior postdoctoral researcher at the University of Graz, Austria, with a background in electrical/biomedical engineering and computer engineering. I work in the Talent and Learning Research group at the Department of Psychology.

My research lies at the intersection of neuroscience, psychology, and scientific computing, with a focus on number processing and arithmetic, EEG oscillations and connectivity, biomedical signal processing, applied machine learning and statistics, and scientific software development. I am committed to open science and open source, including the open availability of data and analysis code to promote reproducibility. I also develop freely available course material and teach Python and R in academic settings, with courses covering programming, data analysis, statistics, and scientific computing.

I contribute to several open-source projects, including MNE-Python, pybv, and PyXDF, and maintain a number of projects of my own, most notably:

I have also contributed to a variety of other open-source projects, including scikit-learn, pandas, IPython, PsychoPy, SciPy, Matplotlib, and BioSig.

You can find my recent work and activity on GitHub and Mastodon. Feel free to contact me via email if you’d like to get in touch.