The Transdiagnostic Attention Intervention Lab focuses on three main areas:
- Research that leverages the role of attention as a transdiagnostic feature of mental health
- Use of a range of technological platforms for interventions: telehealth, virtual reality, augmented reality, and self-guided internet-based, mobile apps
- Application large language models and machine learning for assessment development and precision treatment
Students will have the opportunity to take part in the research process at all levels:
- Original intervention research (development of an intervention, psychological assessment, intervention administration, data analysis, and presentation/publication)
- Novel attention assessment/intervention research using eye tracking technologies
- Secondary analyses of existing datasets utilizing a range of statistical approaches (e.g., Bayesian multilevel modeling, network analysis, etc.)
Ongoing research efforts include:
- Virtual reality for the treatment of social anxiety
- Self-guided internet-based treatment for social anxiety
- Single session telehealth mindfulness intervention for loneliness
- Attention training for the prevention and treatment of PTSD
- Testing a mobile app to reduce stress in First Responders
- Use of Large Language Models for enhancing assessment of mental health concerns
Funded research:
- *GRANT FUNDING FOR RA POSITION*: I have funding for up to TWO members of the lab to be paid graduate research assistants on a self-guided internet-based treatment for social anxiety. Interested students should have some interest in pursuing a career focused on research.
- FirstFocus to reduce stress in First Responders
Expectations:
- Attend and participate in weekly lab meetings - lab meetings are Mondays at 10AM
- Individual meetings at least 1x/month
- Ongoing contribution to your cohort project (each new cohort of students joining the lab will conduct a study or secondary analysis as a group)
- Involvement in conference presentations and publications
How to Apply: email the following to mrubin[at]paloaltou.edu
- Curriculum Vitae (CV)
- Letter of interest (briefly describe prior research experience, research fit with the lab, and long-term goals. Also, note any experience/interest in statistics, computer software/programming, and technologies like virtual or augmented reality)
Select students will be invited to interview to learn more about their possible fit with the lab. Accepted students will be notified on the PAU uniform notification date.