Mathieu Gueugnon

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About

Mathieu Gueugnon is a pioneering researcher at the intersection of computational movement science and clinical psychiatry, whose work is redefining how we understand and diagnose social interaction deficits. His primary research areas include socio-motor biomarkers, movement coordination, and the computational modeling of human interaction. Gueugnon’s most impactful contribution is the development of low-cost, non-invasive diagnostic tools for schizophrenia, as detailed in his highly cited 2017 paper (42 citations). By analyzing patients’ solo hand movements during the "mirror-game"—a task where partners mimic each other—he identified novel biomarkers that could revolutionize early detection. This work builds on his foundational role in the ALTEREGO European project (2014), which laid the scientific groundwork for creating interactive artificial agents capable of continuous, adaptive interaction with patients suffering from schizophrenia, autism, and social phobia. Gueugnon’s research uniquely bridges motor control and social cognition, offering tangible, clinical applications. His achievements demonstrate a rare ability to translate complex movement dynamics into actionable diagnostic tools, making him a key figure in the emerging field of computational psychiatry and a vital resource for students and researchers exploring the embodied nature of social interaction.