Nicolás Hinrichs
Dr. Nicolás Hinrichs is a researcher at the Okinawa Institute for Science and Technology and the Max Planck Institute for Human Cognitive and Brain Sciences, interested in the behavioral and neurobiological correlates of mental health interventions via hyperscanning; drawing on active‑inference theory, process philosophy, and embodied cognition, he models interpersonal neural networks via information geometry to examine how collective priors and affect drive shared intelligence in agential systems.
Nicolás serves on the Society for Philosophy and Neuroscience steering committee, acts as a manuscript proofreader and reviewer for several journals and conferences, and has held fellowships at Kernel and ASAPBio while holding the post of Instruction Chair for Neuromatch Academy. Beyond Academia, he recurrently consults and advises technology ventures. He has applied his research insights to AI‑driven product development, genomic diagnostics partnerships, and medtech market intelligence.
If you're curious about geometric hyperscanning, shared intelligence, or applying cognitive neuroscience in technology: get in touch to see how we might work together.
Upcoming
• Talk – On Information Geometry for Shared Intelligence at Karl Friston's Theoretical Neurobiology Seminar
• Paper – Beyond Brain Synchrony: Geometric Phase Transitions in Hyperscanning Networks
• Podcast – Conversation with Rahul Sam ("Philosophy, Theory, AI, Cognitive Science")
• Podcast – Conversation with Andrea Hiott ("Love & Philosophy")
Recent
• Paper – Hinrichs, N., Albarracin, M., Bolis, D., Jiang, Y., Christov-Moore, L., & Schilbach, L. (2025). Geometric Hyperscanning of Affect under Active Inference. arXiv. https://arxiv.org/abs/2506.08599
• Podcast – Conversation with Matt Gray ("Cheltenham and UK Philosophers")
• Paper – Hinrichs, N., Senatore, I., Figueiredo, N., Cuffari, E., & Fábregas-Tejeda, A. (2025). Assymetry and Reciprocity in Hyperscanning Psychotherapy. PhilSciArchive. https://philsci-archive.pitt.edu/25691/
• Paper – Hinrichs, N., Hartwigsen, G., & Guzman, N. (2025). Detecting Phase Transitions in EEG Hyperscanning Networks Using Geometric Markers. OSF Preprints. https://doi.org/10.31219/osf.io/abx8u_v1
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