Frank Schwebel

Dr. Frank Schwebel is a Research Assistant Professor at the University of New Mexico (UNM) and a licensed clinical psychologist. He is affiliated with the Center on Alcohol, Substance use, And Addictions (CASAA), the Texting Experiment Team (TExT Lab), and collaborates with the Addictive Behaviors and Quantitative (ABQ) Research Lab and Mechanisms of Addiction Treatment and Ecological Observations (MATEO) Lab.

• PhD in Clinical Psychology, University of Washington (2012-2019)
• BA in Psychology, Arizona State University (2008-2012)

His research focuses on developing digital health interventions for addictive behaviors, with a specialization in mindfulness-based approaches for opioid use disorder and chronic pain. He employs machine learning and advanced quantitative methods, including ecological momentary assessment (EMA) and multilevel network analysis, to study substance use dynamics in college students and pregnant populations.

Recent publications highlight his work on:

• Integrating mindfulness and mHealth for comorbid chronic pain and opioid use disorder
• Machine learning applications in cannabis use outcome prediction
• Cross-cultural alcohol-related harm comparisons
• Self-stigma measurement in veterans
• Machine learning to predict suicidal ideation in college students

These studies often involve secondary data analyses of clinical trials and randomized controlled trials (RCTs).

Dr. Schwebel has conducted postdoctoral work at CASAA (2019-2022) and actively engages in training and clinical services for addictive behaviors, anxiety, and trauma-related disorders.