SPOKES: From experiment to open metadata repository: Computational reproducibility for FAIR translational neuromodulation research in clinical neuroscience.
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Description: As a recently appointed assistant professor, I work in biomarker characterization and algorithm development for closed - loop neurostimulation in human patients. My research has immediate translational potential for therapeutic improvement. Lack of transparency and reproducibility impedes innovation and obliterates clinical adoption of unambiguously promising advances. The SPOKES fellowship will help me to trailblaze data strategy development for multimodal human neuromodulation research. The aim of the project is to pioneer automatized data flow algorithms from human neuroscience experiment to computational reproducibility.
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