Biostatistician and Clinical Data managers

Grant Smith

Biostatistician

After completing his master's degree at The University of Western Australia in 2005, Grant joined The Kids Research Institute Australia.  Prior to commencing with the Diabetes Research Group in 2015, Grant worked with a team specialising in policy-and practice-relevant research in which he conducted a variety of projects for the WA Department of Health. These projects spanned a range of child health-related outcomes; from identifying effects of maternal gestational diabetes on neonates to quantifying the 15-year long-term outcomes of a parenting program. In this role he employed a variety of research designs (epidemiological and clinical, cross-sectional and longitudinal, using survey and routinely collected administrative data) and utilised a diverse range of statistical modelling techniques.

Grant's interests lie in modelling longitudinal data, utilising linked population-based datasets, translation of research into policy and practice, epidemiology and management of type 1 diabetes, and childhood social, emotional and cognitive development.

Grant is currently working as a biostatistician with the Children's Diabetes Centre and a research psychologist with WA Child and Adolescent Mental Health Services.

Leah Laurenson

Clinical Data Manager

Bachelor of Science Nursing UBC, Master of Public Health UWA

Leah has been the Clinical Data Manager for the Children’s Diabetes Centre since 2016.  Prior to this role she was involved in study project management at the Cancer Council in Melbourne and prior to that she managed the Australian Bleeding Disorders Registry. She started her career as a Registered Nurse working in a variety of clinical settings.

Leah’s skills include: Experience working with large datasets including data analysis, linking, extraction and reporting, proficiency with analytics tools including PowerBi and Dataiku, creation and design of electronic forms in Qualtrics and RedCap for longitudinal studies

Interests include data linkage, data mining, data analytics and health promotion