Dr. Rosalind Picard, Sc.D. is the Grover M. Hermann Professor of Health Sciences and Technology at the MIT Media Lab and a pioneer of affective computing. A member of the National Academy of Engineering and Fellow of the National Academy of Inventors, she has led seminal work in wearable sensing of autonomic physiology for mental and brain health. Picard is named on 100+ patents and co-founded Empatica (FDA-cleared biomarkers and seizure-detecting smartwatch) and Affectiva.

In this talk, Dr. Picard will share new results from MIT studies that link continuous physiological signals, speech, sleep–activity rhythms, and in-the-moment mood/stress reports with behaviors and AI-generated forecasts of health change. She will discuss what these patterns reveal about autonomic and neurological activity, the promise of personalized, data-driven depression care, and the scientific and ethical hurdles to building trustworthy systems at scale.

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