Biography

As Head of Visualisation Development and Statistical Modelling, Clair ensures that advanced models translate into usable, transparent toolsfor our clients. Her work focuses on bridging complex analytics and practical decision-making, ensuring clients have confidence in the insights provided. Dashboards and reporting are tailored to our clients needs, with a range of visualisations and infographics, dashboards and reporting styles used toenable all end users to engage with the product. She leads the design of quality assurance, usability frameworks, and rigorous testing for platforms like SchedulOpt.

Clair is an accomplished statistician, applied researcher, and leader in advanced modelling and data visualisation. With over 80 peer-reviewed publications, Clair’s work bridges Bayesian statistical innovation, practical application, and quality assurance. She has held key roles on national and industry advisory boards and remains an active contributor to the International Society for Bayesian Analysis. She has over 25 years experience in data analytics, research and real-world deployment of proven solutions. She works across multiple fields, including social science, social disadvantage, forensic science, criminology, sports, education, agriculture, meat science, new technologies, health, psychology, sustainability, environmental, pest management, cyber abuse and statistical methodology. Clair is recognised for developing innovative Bayesian methods and applied frameworks, including:

• Bayesian modelling frameworks for accrediting new agricultural technologies with minimal sampling, supporting industry adoption of new measurement tools
• Habitat suitability models for national biosecurity programs using Bayesian mixture models of satellite and environmental data
• Socio-economic and criminological models linking community-level disadvantage, crime, and road safety outcomes
• Profiling techniques to analyse behavioural patterns, for example, in medication adherence among dementia carers

Clair is a specialist in client project delivery, with a focus on presenting the key outcomes to clients with the information in readily understood formats, such as visualisations, infographics, dashboards and appropriate reporting styles.

Examples of Clairs recent work at PAG include:

• National Road Safety Action Research: Forming a joint Monash/PAG team, we are exploring community characteristics, such as socio-economic disadvantage, residential mobility, and ethnic heterogeneity, to determine if they influence the frequency and severity of road accidents in Australia. The goal of this project is to identify niche populations that may benefit from more targeted road safety initiatives. This National Road Safety Action Grant was funded by the Australian Government
• Asbestos detection: PAG were successful recipients of both rounds of the Australian Government Business Research and Innovation Initiative Challenge - Research for real-time and accurate asbestos detection. PAG combined with long-term collaborators at the Centre for Animal Production and Health, Food Futures Institute, Murdoch University and Asbestos Assessment Services to produce a hand-held device, combined with cutting edge analytics that is suitable for industry use.
• Program Evaluation: PAG were engaged by the Brotherhood of Saint Laurence to undertake a review of the Home Interaction Program for Parents and Youngsters site locations to determine if these sites were still located in regions of disadvantage, whether site boundaries required and update, and if the catchments were likely to provide suitable enrolments in the longer term.
• Device Accreditation: Technologies are being developed to enable the implementation of the Meat Standards Australia prediction models, by measuring IMF%, using sensors capable of predicting IMF% with the required speed for industrial processing. These new technologies need to be accredited for use in the MSA models based on industry acceptable accuracy. PAG developed an analytical approach to provide a transparent, robust, and reproducible framework to assess a pass/fail of a device.