About

Isaac Ahuvia is a postdoctoral fellow at the Center for Behavioral Intervention Technologies (CBITs) at Northwestern University and an instructor at Harvard University. His research investigates mental illness identity, the online spaces that shape it, and ways to promote healthier ways of understanding mental health and illness. His research has appeared in publications such as The New York Times, Inside Higher Ed, and Mad in America. He received his Ph.D. in Clinical Psychology from Stony Brook University, and completed his clinical internship in the VA Boston Healthcare System. Before studying in clinical psychology, Isaac studied sociology at the University of Michigan and conducted public policy research at the University of Chicago Inclusive Economy Lab.

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Interests
  • Mental illness identity
  • Cultural beliefs about mental illness
  • Healthier ways to think and talk about mental illness
Education
  • Ph.D. in Clinical Psychology

    Stony Brook University

  • M.A. in Psychology

    Stony Brook University

  • B.A. in Sociology

    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 via email.

Selected Publications

Ahuvia, I., & Link, B. (2025). The Mental Illness Self-Labeling Model: A Conceptual Model for Studying the Effects of Mental Illness Self-Labeling on Clinical Outcomes. Clinical Psychological Science. https://doi.org/10.1177/21677026251338829 https://psyarxiv.com/nye7s

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., Gurbuz, E., Cuda, J., Kapp, S., Houck, A., Gates, J., Schleider, J., & Gurba, A. (2026). Identifying as Autistic Without a Formal Diagnosis: Who Self-Identifies and Why? Autism in Adulthood. https://doi.org/10.1177/25739581251409920 https://psyarxiv/8bsyz

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

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., Jans, L., & Schleider, J. (2022). Secondary Effects of Body Dissatisfaction Interventions on Depression: A Meta-Analysis. International Journal of Eating Disorders, 55(2), 231-246. https://doi.org/10.1002/eat.23659 https://psyarxiv.com/6rycq

Teaching

The Social Construction of Mental Illness

This original course, currently offered as a junior tutorial in the Harvard University Department of Psychology (and formerly at Stony Brook University), 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.

R for Statistical Programming

Isaac has also developed and delivered materials aimed at introducing students and researchers to the statistical programming language R.

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