Open-Source Research Infrastructure
Open-source software and shared tooling for reproducible digital health and biopsychology research.
Alongside empirical research, I develop and maintain open-source software for biopsychological signal processing, psychophysiological study workflows, benchmarking, and digital data collection. The overall goal is to make computational methods in digital health and psychological research more reproducible, reusable, and easier to extend across projects and labs.
This includes software projects such as BioPsyKit for the analysis of biopsychological data, CARWatch for structured cortisol awakening response assessment, and related benchmarking and infrastructure work. The software page links directly to the most relevant repositories.