MIND: a shared process language for identifying intrapersonal and interpersonal dynamics linked to therapeutic change.

In-session synchrony and co-regulation: how coordination in the therapeutic relationship shapes outcomes.

In-session emotional flexibility and self-regulation: how within-person dynamics shape outcomes.

Using AI, NLP, and machine learning methods for scalable, automated multimodal psychotherapy research.

Computational linguistics to support mental health monitoring in naturalistic settings.

Supporting therapist responsiveness by integrating context, intervention, and impact

Do couples and therapeutic dyads share the same “helpful” interaction sequences?