The Lab’s Focus
Our lab focuses on high-risk substance use across the lifespan with particular emphasis on adolescent and young adult substance use and combined use of multiple substances. Much of our work uses advanced statistical analysis to model the heterogeneity of substance use at the person- and day-level (latent class analysis), and changes in associations across time or age (time-varying effect modeling).
Our team includes highly-skilled and motivated post-doctoral and pre-doctoral fellows through the Prevention and Methodology Training (PAMT) program interested in studying patterns, predictors, and consequences of substance use throughout the lifespan.

Director
The Addiction and Innovative Methods (AIM) Lab is Directed by Dr. Stephanie Lanza (Professor of Biobehavioral Health)
Director
The Addiction and Innovative Methods (AIM) Lab is Directed by Dr. Stephanie Lanza Professor of Biobehavioral Health) .
Trainees
Select Former Trainees

Hannah K. Allen, PhD

Alyssa L. Abrams, M.Ed

Devin M. McCauley, M.S.

Renee M. Cloutier, PhD

Anna Hochgraf, M.S.

Tong Chen, M.S.

Danny Rahal

Carlie Sloan

Sam Stull

Natalia Van Doren, M.S.
News Reel
Best Poster Award
To view the poster Click Here ____________________ Miglena Ivanova, a third-year doctoral student in developmental psychology and a Prevention and Methodology Training (PAMT) predoctoral fellow, won the Best Poster Award for her work "Profiles of Co-occurring Internalizing and Externalizing Problems and Adolescent Substance Use" which she presented at [...]
Award Recipients
Congratulations to current lab members Danny Wang who was accepted as a Pre-Doctoral Fellow for the NIDA T32 Prevention and Methodology program and Sam Stull who received a NIDA F31 National Research Service Award for "The Role of Nondrug Reward in Recovery from Opioid Use Disorder: Intrapersonal and Socio-spatial [...]
Congratulations!
Congratulations to Danny Rahal (will be Assistant Professor at UC Santa Cruz Fall 2023) and Natalia Van Doren (will be post-doctoral scholar at a NIDA-funded T32 at UC San Francisco in Fall 2023).
How husbands perceive their wives’ weight may affect later marriage satisfaction
AIM Lab trainee, Anna Hochgraf's research was recently featured in Penn State News.












