Professor Claire Vajdic
BOptom (HonsI) - University of NSW 1989
PhD (cancer epidemiology) - University of Sydney 2002
My research program uses large-scale linked health data to drive best practice health care and reduce the burden of cancer, particularly for people with infectious disease.
My vision is to use integrated health 'big data' to develop transformational interventions that prevent cancer and the avoidable consequences of cancer, and reduce unwarranted variation in health care. I have a strong focus on outcomes that impact public health policy and clinical practice, in particular for high-risk and under-served population groups. I apply population health science methods to inform precision medicine across the cancer control continuum of cancer prevention, early detection, diagnosis, treatment and follow-up care, to reduce the burden of care on individuals and on the health system. I also promote policy that supports good practice in the access to and use of real-world data for research.
For the latest comprehensive list of my publications, please click here:
https://www.unsw.edu.au/staff/claire-vajdic
Professional Activities, a selection:
- Steering Committee Member, Brain Cancer Biobanking Australia
- Member, International Lymphoma Epidemiology Consortium (InterLymph)
- Member, Australian Cancer Data Alliance
- Member, NSW Health Data Governance Steering Committee
- Chair, NSW Population and Health Services Research Ethics Committee
- Co-chair, Workplace Culture Committee
Funding Sources:
- National Health & Medical Research Council
- Medical Research Future Fund
- World Cancer Research Fund
- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
2010 Premier's Award for Outstanding Cancer Research Fellow
I have built a research program involving the integration of health ‘big data’. Through a number of concurrent projects my research aims to reduce the burden of cancer on individuals and on the Australian health care system. There is a focus on infection-related cancers, and cancer prevention and healthcare in people with infectious disease.
All projects are co-produced in partnership with clinicians, consumers, and implementation scientists to advance the control of cancer, reduce the consequences of cancer, and address inequalities and inefficiencies in cancer care and access to linked population-based data.
My Teaching
Master of Science in Health Data Science: HDAT9100 Context of Health Data Science