Staff profile - Matthew Fuller Tyszkiewicz
Dr Matthew Fuller-Tyszkiewicz
|Position:||Senior Lecturer |
|Faculty or Division:||Faculty of Health|
|Department:||School of Psychology|
|Campus:||Melbourne Burwood Campus|
|Phone:||+61 3 92517344 +61 3 92517344|
- Graduate Diploma in Psychology, Deakin University, 2004
- Doctor of Philosophy, Deakin University, 2008
- Graduate Certificate of Higher Education, Deakin University, 2011
Founding member of the Teaching Innovation and Development Team;
Course Chair for H653
Teaching into HPS425/742 (Research Methods C) and HPS907 (Advanced Research Methods)
Supervision of fourth year, Doctoral and PhD students
Conferences and seminars
Von Treuer, K., McCabe, M., Fuller-Tyszkiewicz, M., & Moss, S. (2012). The development and evaluation of a novel, web???based workplace intervention to increase organisational capability and support for employees with mental health problems. 10th Conference of the European Academy of Occupational Health Psychology. Zurich, Switzerland.
Fuller-Tyszkiewicz, M. (2011). Mapping moment-by-moment changes in state body image. 46th Annual Australian Psychology Society Conference. Canberra, ACT. Fuller-Tyszkiewicz, M. (2010). The relationship between body image and self-esteem across age and gender: A longitudinal study. 27th International Congress of Applied Psychology, Melbourne, Vic.
Bett, R., von Treuer, K., & Fuller-Tyszkiewicz, M. (2008). Relationship between social capital and wellbeing. Proceedings of the 10th Australian Conference on Quality of Life. Deakin University, Melbourne, Vic.
Fuller-Tyszkiewicz, M. (2007). On the relationship between dissociation and disordered eating. 6th Annual ANZAED conference. Melbourne, Vic.
Awards and prizes
Faculty of Health Commendation for Excellence in Teaching Awards (2008-2013)
Deakin University Award for Teaching Excellence (2012)
Substantive interests: Body image, obesity, disordered eating, mental health; use of eHealth, smartphone apps, risk modelling, and ESM technology.
My research leverages cutting-edge technologies to enhance allocation, delivery, and client use of established treatments for common and costly public health issues. I use smartphone app-based technology to: (1) identify individual- and environmental-level determinants of mental and physical health, and then (2) deliver intervention content that directly targets these antecedents to poor mental health and lifestyle behaviours. My risk-modeling provides greater precision for determining when to intervene and for whom, thus providing individualized, tailored interventions for individuals at time of greatest need. This approach allows principled, data-driven means for allocating patients to optimal treatment options.