Joshua Curtiss

Joshua Curtiss is an Assistant Professor in the Department of Applied Psychology at Bouve College of Health Sciences, with additional affiliations in Community Health and Behavioral Sciences. His research focuses on leveraging machine learning and network approaches to advance precision mental healthcare for emotional disorders.

• Affiliations: Bouve College of Health Sciences, Applied Psychology Department
• Research Themes: Digital mental health, mindfulness-based interventions, emotion regulation, and computational psychiatry
• Key Collaborations: Focused on anxiety disorders, depression, and behavioral neuroscience

His work analyzes how anxiety sensitivity modulates mindfulness experiences (BMC Psychiatry, 2025) and evaluates machine learning's capacity to predict treatment outcomes for depression (Clinical Psychology Review, 2025). Current projects examine coaching dynamics in digital CBT-BDD interventions (Internet Interventions, 2024) and develop novel emotion regulation assessment tools (Emotion, 2024).

Scientific contributions include:

• 2024 Excellence in Research Writing Award
• National Institutes of Health grant for forecasting emotional disorder symptoms (2025)

Methodological innovations span cross-cultural validation of psychological scales, dynamic systems modeling in mental health research, and anti-localizationist approaches to human neuroscience.