STAFF PROFILE
Dr. Daniel Zarate
Position:
Lecturer
College / Portfolio:
STEM College
School / Department:
STEM|Health and Biomedical Sciences
Email:
daniel.zarate@rmit.edu.au
Campus:
Bundoora West
Contact me about:
Research supervision
Daniel Zarate is a PhD candidate in Clinical Psychology. His research project examines social media content using Natural Language Processing and Machine Learning models to decode the Digital Phenotypes of different mental health conditions. Daniel has published several academic articles addressing digital phenotyping, behavioural addictions, body image and well-being, and critical psychology. During the last three years, Daniel has taught in different areas of psychology, including personality, social psychology, counselling, and statistics. He has also supervised 18 honours projects. In 2022, Daniel became a provisionally registered psychologist, providing services in primary school settings. He envisions becoming a fully registered psychologist aiming to navigate the scientist/practitioner intersectionality.
- Research; HDR Supervision
- Course coordination BESC 1466 - Research project
- Course coordination BESC 1572 - Counselling and virtual care
- Course coordination BESC 1421 - Psychological assessment and intervention
Available to supervise students
Qualifications
- Psychology Honours (Victoria University).
- Certificate IV in Liberal Arts (Victoria University)
Awards
- Postgraduate Students Clinical Research Grant Award (Australian Psychological Society)
- PhD Scholarship (Victoria University)
- C2IMPRESS / Multi-Hazard Risks for Disaster Resilient Society – Collaboration With University of Cambridge (UK), Comunidad Autonoma Islas Baleares (Spain), ARTELIA (France), RMIT School of Computing Technology (Australia)
- Ahead of the Game [ARC DECRA] – Collaboration with Catholic Care Victoria, Quantum Victoria and Mighty Serious
- Kovacs, J.,Zarate, D.,de Sena Collier, G.,Tran, T.,Stavropoulos, V. (2024). Disordered Gaming: The Role of a Gamer’s Distress Profile In: Canadian Journal of Behavioural Science, , 1 - 26
- Zarate, D.,Tran, T.,Rehm, I.,Prokofieva, M.,Stavropoulos, V. (2023). Measuring problematic sexual behaviour: an item response theory examination of the Bergen–Yale sex addiction scale In: Clinical Psychologist, 27, 328 - 342
- Zarate, D.,Hobson, B.,March, E.,Griffiths, M.,Stavropoulos, V. (2023). Psychometric properties of the Bergen Social Media Addiction Scale: An analysis using item response theory In: Addictive Behaviors Reports, 17, 1 - 8
- Tullett-Prado, D.,Doley, J.,Zarate, D.,Gomez, R.,Stavropoulos, V. (2023). Conceptualising social media addiction: a longitudinal network analysis of social media addiction symptoms and their relationships with psychological distress in a community sample of adults In: BMC psychiatry, 23, 1 - 27
- Zarate, D.,Dorman, G.,Prokoeva, M.,Morda, R.,Stavropoulos, V. (2023). Online Behavioral Addictions: Longitudinal Network Analysis and Invariance Across Men and Women In: Technology, Mind and Behavior, 4, 2 - 25
- Prokofeva, M.,Zarate, D.,Parker, A.,Palikara, O.,Stavropoulos, V. (2023). Exploratory structural equation modeling: a streamlined step by step approach using the R Project software In: BMC Psychiatry, 23, 1 - 22
- Hunt, B.,Zarate, D.,Gill, P.,Stavropoulos, V. (2023). Mapping the links between sexual addiction and gambling disorder: A Bayesian network approach In: Psychiatry Research, 327, 1 - 13
- Zarate, D.,Allen, A.,Kannis-Dymand, L.,Karimi, L.,Stavropoulos, V. (2023). Problematic Pornography Use: Can It Be Accurately Measured via the Problematic Pornography Use Scale? In: International Journal of Mental Health and Addiction, , 1 - 22
- Stavropoulos, V.,Zarate, D.,Prokofieva, M.,Van De Berg, N.,Karimi, L.,Gorman Alesi, A.,Richards, M.,Bennet, S.,Griffiths, M. (2023). Deep learning(s) in gaming disorder through the user-avatar bond: A longitudinal study using machine learning. In: Journal of Behavioral Addictions, , 1 - 17
- Zarate, D.,Ball, M.,Prokofieva, M.,Kostakos, V.,Stavropoulos, V. (2023). Identifying self-disclosed anxiety on Twitter: A natural language processing approach In: Psychiatry Research, 330, 1 - 9
2 PhD Current Supervisions