

Interdisciplinary researcher and founder of an international research health consortium, specializing in the analysis, modeling, and interpretation of complex human behavioral data for clinical and AI applications. Trained in anthropology, cognitive ecology, and biosemiotics, with expertise in multimodal signal analysis (facial movement, gestural, perceptual), semantics, network analysis, and information-theoretic approaches to human behavior. Experienced in cross-functional collaboration with engineers, clinicians, and data scientists across academia and industry. Co-developer of novel facial behavioral analysis and semiotic frameworks for digital biomarker detection - with applications in neurodegenerative disease, affective computing, and human-centered AI.
Jesper Hoffmeyer Award for Promising Early Researchers in Biosemiotics