Isaac Ahuvia

Isaac Ahuvia

Doctoral Student in Clinical Psychology

Stony Brook University

About

Isaac Ahuvia is a PhD candidate in clinical psychology at Stony Brook University, studying under Dr. Jessica Schleider in the Lab for Scalable Mental Health. His research investigates how people understand mental illness (e.g., What causes depression? Am I depressed?) and the consequences of these understandings for mental health outcomes. His research has appeared in publications such as The New York Times, Inside Higher Ed, and Mad in America. He is also the creator and instructor of an undergraduate course on the social construction of mental illness. Prior to joining the Lab for Scalable Mental Health, Isaac studied sociology at the University of Michigan and conducted research at the University of Chicago Inclusive Economy Lab and Northwestern University’s Feinberg School of Medicine.

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Interests
  • Cultural beliefs about mental illness
  • Mental illness identity
  • Healthier ways to think and talk about mental illness
Education
  • PhD Candidate in Clinical Psychology

    Stony Brook University

  • M.A. in Psychology, 2022

    Stony Brook University

  • B.A. in Sociology, 2016

    University of Michigan

Research

For a complete and up-to-date listing of published and pre-registered projects, see Isaac’s Google Scholar and OSF pages. For more information on ongoing studies, feel free to reach out on Twitter or email.

Notable Publications

Ahuvia, I., Schleider, J., Kneeland, E., Moser, J., & Schroder, H. (2024). Depression Self-Labeling in U.S. College Students: Associations with Perceived Control and Coping Strategies. Journal of Affective Disorders, 351, 202-210. https://doi.org/10.1016/j.jad.2024.01.229 https://psyarxiv.com/jqrhu

Ahuvia, I., Sotomayor, I., Kwong, K., Lam, F., Mirza, A., & Schleider, J. (2024). Studying Causal Beliefs About Mental Illness: A Scoping Review. Social Science and Medicine, 116670. https://doi.org/10.1016/j.socscimed.2024.116670 https://psyarxiv.com/x58pw

Pinder, J., Ahuvia, I., Chen, S., & Schleider, J. (2024). Beliefs About Depression Relate to Active and Avoidant Coping in High-Symptom Adolescents. Journal of Affective Disorders, 346, 299-302. https://doi.org/10.1016/j.jad.2023.11.026 https://psyarxiv.com/q43pd

Ahuvia, I., Mullarkey, M., Sung, J., Fox, K., & Schleider, J. (2023). Evaluating a Treatment Selection Approach for Online Single-Session Interventions for Adolescent Depression. Journal of Child Psychology and Psychiatry, 64(12)* 1679-1688. https://doi.org/10.1111/jcpp.13822 https://psyarxiv.com/nekhw

Ahuvia, I., & Schleider, J. (2023). Potential Harms from Emphasizing Individual Factors Over Structural Factors in Cognitive Behavioral Therapy with Stigmatized Groups. The Behavior Therapist, 46(7), 248-254. https://services.abct.org/i4a/doclibrary/getfile.cfm?doc_id=181 https://psyarxiv.com/n65fj

Smith, A., Ahuvia, I., Ito, S., & Schleider, J. (2023). A Mixed-Methods Evaluation of a Novel Single-Session Intervention for Body Dissatisfaction and Depression in Adolescents. International Journal of Eating Disorders, 56(8), 1554-1569. https://doi.org/10.1002/eat.23976 https://psyarxiv.com/4ywe5

Teaching

PSY 339: The Social Construction of Mental Illness

This original course, offered by Stony Brook’s Department of Psychology, explores the way that mental illness is constructed and the consequences of this construction on affected individuals. Topics include different ways of defining mental illness, diagnosis, stigma, medicalization, and more. Course materials are freely available at this link.

R for Statistical Programming

Isaac has also developed and delivered materials aimed at introducing students and researchers to the statistical programming language R. These materials are available on github.

Consulting

Consulting services are available for research teams and anybody else interested in making the most of their data. For more information, please contact me using the email at the bottom of this page.

Data Management
Statistical Programming
Data Visualization