Elyse Thulin is a Postdoctoral Research Fellow at the University of Michigan Addiction Center in the Department of Psychiatry. Her research focuses on the co-occurrence of traumatic exposures on adolescent and emerging adult development. As a social scientist with advanced knowledge of quantitative and qualitative methods, she uses structured and unstructured forms of data to create knowledge and inform interventions that improve the safety and wellbeing of children and adolescents
Areas of Interest
- Computational psychiatry
- Longitudinal modeling
- Compounding trauma and poly-substance use
- Developmental psychology of adolescent and emerging adult trajectories
- PhD, Health Behavior Health Education, University of Michigan
- PhD, Scientific Computing, University of Michigan
- MSc, Global Health, Duke University
- BA, Developmental Psychology and Anthropology, Johns Hopkins University
Thulin, E.J., Kusunoki, Y., Kernsmith, P., Smith-Darden, J., Grogan-Kaylor, A., Zimmerman, M.A., & Heinze, J.E. (under review). Longitudinal Effects of Electronic Dating Violence on Depressive Symptoms and Delinquent Behaviors in Adolescence.
Thulin, E.J., Zimmerman, M.A., Kusunoki, Y., Kernsmith, P.D., Smith-Darden, J., & Heinze, J.E. (2021). Electronic Teen Dating Violence Curves by Age. Journal of Youth and Adolescence.
Thulin, E.J., Heinze, J.E., & Zimmerman, M.A. (2021). Adverse adolescent experiences (A-ACES) and risk of adult intimate partner violence. American Journal of Preventive Medicine.
Heinze, J.E., Hsieh, H.F., Thulin, E.J., Howe, K., Miller, A., & Zimmerman, M.A. (2021). Adolescent exposure to violence and intimate-partner violence mediated by mental distress. Journal of Applied Developmental Psychology
Dr. Thulin was awarded the Best Trainee Poster Award at the 2022 Promoting Research in Social Media and Health Conference, at UCSF, for her poster 'Online public support group for recovery from problematic cannabis use: Trends of use and topics of discussion'. Dr. Thulin uses computational methods including web scraping and NLP to understand how interpersonal-interactions in online spaces can positively and negatively impact health behaviors.