Quantitative and AI methods for health research

I use quantitative and AI methods to study health problems:

Nine groups, one for each DSM-5 criterion proposed for internet gaming disorder. Positions are illustrative.

9
peer-reviewed papers, 2017 to 2026
133
citations of the 2017 gaming disorder paper (OpenAlex, October 8, 2026)

Research areas

Three areas of health research. Each panel leads to its papers.

Behavioral addictions

How problem gaming is defined and measured.

  • 2026 · PLOS ONEDigital behavioral addictions in adolescents and young adults: Protocol for a scoping review of definitions, measurement, epidemiology, determinants, harms, interventions, and equity
  • 2017 · Computers in Human Behavior · 133 citationsInternet gaming disorder: Social phobia and identifying with your virtual self
All work in this area: Behavioral addictions

Integrated care

Whether integrated care is associated with lower short-term hospital use and cost.

  • 2026 · Health Services ResearchAcute-care utilization and cost offsets associated with language-concordant, pharmacist-integrated care management among high-need, high-cost adults
  • 2025 · Population Health ManagementShort-term gains, enduring potential: An integrated SDOH-focused care model delivers cost savings and patient-reported benefits
  • In press · The Journal of Behavioral Health Services & ResearchEmbedded psychological services and lower 60-day acute-care utilization in high-need, high-cost adults: A target trial emulation
All work in this area: Integrated care

Clinical AI and cancer pathology cohorts

Cancer pathology cohorts and AI in pathology and imaging, with collaborators at the University of Miami.

  • 2026 · American Journal of Clinical PathologyRisk factors for lymph node metastasis in a contemporary radical prostatectomy cohort
  • In press · Archives of Pathology & Laboratory MedicineClinical significance of extensive urothelial denudation: Association with high-grade urothelial carcinoma in contemporary cohort
  • April 2025 · Invited lectureEmpowering Academic Writing with AI: A Practical Guide to LLM-Driven Research
All work in this area: Clinical AI and cancer pathology cohorts