Research and neuroimaging
Measurement that stays connected to the question.
Conventional SQUID-MEG, source imaging, cerebellar fMRI, EEG analysis, and ecological task design across laboratory and applied settings.
Clinical neuroscience and translational neurotechnology
I build measurement systems, analysis pipelines, and software that make neuroscience usable.
Robert J. Gougelet is a researcher and developer whose work spans conventional MEG acquisition and preprocessing, Fast-VESTAL source imaging, cerebellar fMRI, EEG analysis, fNIRS methods, and clinical systems development. The work focuses on rigorous tools people can actually use.
MEG
fMRI
EEG
fNIRS
Clinical systems
Teaching
What I bring
Three ways I contribute: rigorous measurement, usable infrastructure, and translation into real settings.
Software and infrastructure
Analysis tools people can actually use.
Local-first fNIRS workflows, transportable analysis protocols, and clinical web applications shaped by real operational constraints.
Teaching and translation
Technical depth with a human-facing edge.
Hands-on neurophysiology teaching, applied sensing at NASA Langley and JPL, and research software that makes complex methods easier to enter and explain.
Principle
I care about systems that are technically strong, visually clear, and honest about what they measure. That means work that can survive scrutiny and still feel good to use.
Proof points
- Research Lead and Software Developer, Human Neurophysiology Methods Lab Hands-on fNIRS methods, reproducible workflows, and quantitative analysis teaching.
- Clinical Systems Developer, Xcelsior Health Clinical analytics and patient-resource web applications used for practice operations.
- NSF EAPSI / JSPS fellow and PI Direct funding for a multimodal neuroimaging project with Daniel E. Callan as co-PI.
- First-author cerebellar aviation fMRI paper Naturalistic task design, full SPM8 analysis, and a publication that bridges cognition, cerebellum, and performance.