I lead the Big Data Research and Learning Health System, and the Mental Health Epidemiology Research at ​Monash Centre for Health Research and Implementation. MCHRI is a formal partnership between Monash Health, the largest health service nationally and Monash University, the largest University, functioning as a unique implementation laboratory with >180 active researchers many of whom are clinician researchers. My team of five statisticians and 9+ PhD students provide biostatistics and data analysis support for the Centre and two Centres of Research Excellence. We support both traditional and modern statistical approaches using most statistical programming tools (stata, SPSS, SAS, R, python), including machine learning and data visualisations. I Co-lead the Risk Prediction Research at MCHRI together with expert Lifestyle clinician-researcher Assoc Prof Lisa Moran, where I bring the strong methodological inputs and translational skills to the leadership team in this rapidly evolving field.

At MCHRI I am also part of the Executive Team with oversight of strategic direction for the Centre, which has >$40million in current NHRMC and MRFF grants.

My program of research to produce policy informing information from existing big data assets such as routine health data sets is informing policy.​ ​I have established a research program focused on big data analytics and the learning health system, working closely with clinical researchers, service providers and policy makers. My program supports heterogeneous clinical disciplines and I also have a strong research interest in mental health.

I have 120+ publications; $21M research grants the majority in the past five years; ​H-index of 22.

I have a strong track record in research informing policy to support equitable and effective health services. I have led and contributed to work that has informed policy and is leading changes in how health services can deliver impact. I am ranked #1 expert on ExpertScape on Learning Health Systems (LHS).

The past decade has seen enormous advances in the amount of data routinely generated however the ability of clinicians, researchers, policy makers and the community to harness this data to improve healthcare and outcomes at the individual, organisation and population level has been hindered by a lack of system-wide capacity, knowledge and approaches. I lead the development of the evidence-based LHS, led by Monash Partners/ University, that engaged stakeholders, was informed by evidence synthesis and qualitative research and is now being implemented by governments and health services (MRFF $11M up to 2026) for: LHS implementation to deliver enhanced healthcare at home for older people in Australia, and; on major data infrastructure, advancing IT innovations and applying the LHS in maternity care across priority areas, settings and populations. 

I have contributed to large scale programs and brings expertise in pragmatic trial design, biostatistics risk prediction and LHS. I have research utilising healthcare data informed by implementation research funded by the MRFF that is instrumental in: e.g. translating risk prediction tools to improve women’s health – HiPPPP Personalised Medicine meets Public Health in the first 2000 days ($2.5M, 2020-2025); optimising the delivery of antenatal digital interventions in public healthcare, improving equity, access and engagement for better maternal and neonatal health outcomes ($1.5M, 2021-2026).

Since 2020 I have led the MCHRI Biostatistical Consultancy Service, which is a not-for-profit service providing research and statistics support to Monash Health clinicans, staff/students.