Our work is supported by investigator-initiated industry sponsorships, federal (NIH) and foundation grants, and philanthropy. Our research focuses on the following key areas:
Developing and Testing New Technologies
- PRECISION ASSESSMENT:
Using ecologically-valid and big data-driven approaches, including digital phenotyping and wearable biosensors, to predict risk and identify early points of mental health intervention.
- EVIDENCE-BASED TOOLS AND TREATMENT:
Developing and testing novel, digital solutions to enhance access to evidence-based mental health tools and interventions. Engaging in user-centered design that involves key stakeholders. Using data-driven approaches to understand how and for whom digital approaches to mental health care work. Focusing on inclusion, so that digital solutions are available and appropriate to everyone.
- LEVERAGE CUTTING EDGE METHODOLOGIES:
Advancing the integration of AI into the patient care journey, from assessment and treatment matching to enhancing treatment accessibility, flexibility, personalization, and efficacy.
Implementation of
Evidence-based scalable health solutions to expand the capabilities of the current mental health care system, including addressing disparities in care and addressing the youth mental health crisis in K-12 and higher education.
Sharing Knowledge
Developing and disseminating training and educational opportunities in evidence-based, scalable mental health methods and practice.
- To learn more about training opportunities for pre-doctoral interns and post-doctoral fellows in psychology, see training.
- For information about trainings for clinicians, see https://mghcme.org.
- For information about consultations with our team, see consulting.
