معرفی
Toni Gibbs-Dean is a Research Fellow in the Department of Psychiatry at Yale School of Medicine, Yale University. They hold a PhD in Computational Psychiatry from King’s College London (2023), an MSc in Psychosis Studies, and a BSc in Psychology and Neuroscience. Their research focuses on computational models of psychopathology, leveraging machine learning to predict psychosis onset and relapse through speech and cognitive biomarkers. Toni has extensive experience working with vulnerable populations, including youth in state care and patients in early psychosis services.
Education: PhD (Computational Psychiatry, King’s College London, 2023); MSc (Psychosis Studies); BSc (Psychology and Neuroscience).
Research Interests:
- Neurocognitive computational models of psychopathology
- Machine learning applications in early psychosis detection
- Speech analysis as a diagnostic tool
- Reducing the Duration of Untreated Psychosis (DUP)
- Psychosis risk factors (e.g., cannabis use)
Recent work includes developing scalable speech assessment tools (e.g., HONE platform) and evaluating the STEP Learning Collaborative for statewide early psychosis care. Toni co-authored Mindmap 2.0, a campaign promoting early psychosis detection in teens and young adults.
Grants and Collaborations: Involved in initiatives like the Connecticut Public Radio’s Mindmap campaign and the HONE learning health system. No awards explicitly listed.
Labs/Teams: Active in the Yale School of Medicine’s Psychiatry Department, contributing to translational research and clinical innovation.