Research Interests
- Health Equity
- Parenting
- Family Dynamics
- Psychometrics and Measurement
- Developmental Psychopathology
- Artificial Intelligence
- Natural Language Processing
- Human–AI Interaction
Dr. Rodriguez is accepting applications from prospective graduate students interested in joining her lab as a primary research advisor beginning in Fall 2027. She will consider applicants to both the Ph.D. program in Clinical-Community Psychology and the M.S. program in Psychological Science.
I wrote a piece for Nature Careers on application/interview advice. Please read it here.
Please note that although Dr. Rodriguez holds an appointment at the University of Illinois Chicago, she is only able to recruit graduate students through the University of Illinois Urbana-Champaign.
Dr. Violeta J. Rodríguez directs a multidisciplinary research program focused on improving the measurement, understanding, and promotion of mental and behavioral health among children, adolescents, caregivers, and families. Her work integrates developmental psychology, clinical science, psychometrics, artificial intelligence, and implementation science to address pressing public health challenges and reduce health inequities across diverse populations.
A central focus of her research is advancing measurement science. Her lab develops innovative approaches for assessing parenting, family functioning, mental health, well-being, and health-related behaviors across diverse cultural and social contexts. By combining psychometric methods, qualitative research, ecological momentary assessment, intensive longitudinal designs, and multimodal data collection, her work seeks to create more precise, equitable, and contextually valid tools for research and practice.
Dr. Rodríguez's research also examines the developmental, social, and contextual processes that shape mental health and well-being. Her studies investigate how parenting, stigma, discrimination, emotion regulation, family relationships, sleep, and other behavioral health factors influence outcomes among youth and families. Much of this work focuses on populations that have historically been underrepresented in psychological research, including racially and ethnically minoritized communities, immigrant families, LGBTQIA+ populations, Spanish-speaking communities, and families affected by chronic illness.
An emerging area of her research explores how artificial intelligence can enhance mental health assessment, intervention, and implementation. Her lab collaborates with researchers in human–AI interaction, natural language processing, computational social science, and health informatics to develop ethical, culturally responsive AI tools that support caregivers, improve behavioral health monitoring, and expand access to evidence-based resources. These efforts include ParentPal, an AI-enabled platform designed to support parenting, caregiver well-being, and personalized family interventions.
Methodologically, Dr. Rodríguez's work spans psychometric modeling, item response theory, explanatory IRT, latent variable modeling, machine learning, natural language processing, network analysis, ecological momentary assessment, mixed methods research, and implementation science frameworks. By integrating advances across psychology, data science, and artificial intelligence, her research aims to create scalable solutions that improve mental health and well-being for families worldwide.
Education
- 2023: PhD, Clinical Psychology, University of Georgia
- 2020: MS, Psychology, University of Georgia
- 2015: MSEd, Research, Measurement and Evaluation, University of Miami
- 2012: BA, Psychology, Florida International University
Grants
Current Funding
National Institutes of Health (NIH) — National Institute on Aging (NIA) A2 Pilot Award | 2025–2027
Supporting Mental Wellbeing of Family Caregivers of AD/ADRD through an AI Conversational Agent
- Principal Investigator: Karkar
- Role: Co-Investigator
- Mechanism: A2 Pilot Award
- Funding: $101,343 direct costs; $40,853 indirect costs
National Institutes of Health (NIH) — Extramural Clinical Research Loan Repayment Program | 2025–2027
Novel and Multi-Informant Methods to Enhance the Measurement of Parenting
- Principal Investigator: Rodriguez
- Role: Principal Investigator
- Primary Institute: Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
- Mechanism: Clinical Research Loan Repayment Program
- Status: Awarded
National Institutes of Health (NIH) | 2024–2029
Optimizing the Assessment of Parenting: A Multi-Method and Multi-Informant Approach
- Principal Investigator: Rodriguez (Single PI)
- Mechanism: DP5 Early Independence Award (DP5-OD036508)
- Status: Funded on first submission (Impact Score = 26)
- Funding: $1,250,000 direct costs; $677,155 indirect costs
American Psychological Foundation | 2024–2025
Understanding Parenting, Stigma, and Health in LGBTQIA+ Parents: An Intersectional and Longitudinal Approach
- Role: Principal Investigator
- Mechanism: Springfield Research Fund Grant
- Status: Funded
- Funding: $21,000
Completed Funding
National Institute of Mental Health (NIMH) | 2021–2023
Revision and Validation of the Multidimensional Assessment of Parenting Scale (MAPS) in a Racially and Ethnically Diverse National Sample
- Role: Principal Investigator
- Mechanism: R36 Dissertation Grant (R36 MH127838)
- Status: Completed; funded on first submission (Impact Score = 21)
- Funding: $86,017
Additional Campus Affiliations
Assistant Professor, Psychology
Recent Publications
Butt, Y., Liu, Q., & Rodriguez, V. J. (2026). Parenting Under Pressure: Network Analysis of Stigma, Emotion Regulation, and Mental Health in TGD Parents. LGBTQ+ Family: An Interdisciplinary Journal. Advance online publication. https://doi.org/10.1080/27703371.2026.2654499
Cayuela, L., Gaeta, A. M., Rodríguez, V. A., Librero, J., & Cayuela, A. (2026). Exploring spatial patterns of sarcoidosis mortality in Spain between 2009 and 2023. Revista clinica espanola, 226(5), 502516. https://doi.org/10.1016/j.rceng.2026.502516
Finley, J. C. A., Robinson, A. D., Soble, J. R., & Rodriguez, V. J. (2026). Using machine learning to detect noncredible cognitive test performance. Clinical Neuropsychologist, 40(3), 830-847. https://doi.org/10.1080/13854046.2024.2440085
Huang, M., Rodríguez, V. J., Saha, K., & August, T. (2026). Designing beyond Language: Sociotechnical Barriers in AI Health Technologies for Limited English Proficiency. In N. Oliver, D. A. Shamma, H. Candello, P. Cesar, P. Lopes, A. Bozzon, T. Kosch, V. Liao, X. Ma, V. Artizzu, F. Draxler, G. Lopez, A. V. Reinschluessel, X. Tong, & P. O. Toups Dugas (Eds.), CHI 2026 - Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems Article 771 (Conference on Human Factors in Computing Systems - Proceedings ). Association for Computing Machinery. https://doi.org/10.1145/3772318.3791091
Metzger, I. W., Adams, S. J., Smith, K., La Barrie, D. L., Surprenant, B., Bartolomeo, L. A., Rea, K., Nguyen, J., Brown, J., Brown, C., & Rodriguez, V. J. (2026). The racial trauma task force: Clinical-community psychology approaches to healing racial trauma during COVID-19. American journal of community psychology. Advance online publication. https://doi.org/10.1002/ajcp.70072