SSA QLD Branch Seminar Series: Seminar 2: Microsimulation Modelling for Melanoma Screening

Join the Queensland Branch of the Statistical Society of Australia for an engaging Branch Seminar Series, featuring presentations from Queensland-based statisticians through a mix of hybrid and online seminars. In the second webinar of the series will address  a significant challenge in cancer prevention: the design of melanoma screening strategies that are both clinically effective and economically sustainable. Our two speakers from the Viertel Cancer Research Centre at Cancer Council Queensland will introduce the use of microsimulation modelling to evaluate melanoma screening strategies, sharing insights into the health economics of skin cancer prevention and how modelling can inform real-world policy decisions.

This session offers an opportunity to hear from two experienced researchers about their statistical modelling approach, its application to melanoma screening, and the broader implications for cancer care in Australia.

Date: Tuesday 18 August 2026

Time: 5:30 - 6:30 pm (AEST)

Venue: Cancer Council Queensland Auditorium, 553 Gregory Terrace, Fortitude Valley

Online via Teams:

https://teams.microsoft.com/meet/42457297349858?p=b7jxNsteosfiJaQU10

Meeting ID: 424 572 973 498 58

Passcode: Nw9u5z4k

Presenter Bios:

Dr Daniel Lindsay

Dr Daniel Lindsay is a Senior Research Fellow and Cancer Health Economics Group Lead within the Viertel Cancer Research Centre. His research focuses on evaluating the cost-effectiveness of health interventions in cancer care, assessing the financial burden of cancer survivors and assessing inequities in costs and cancer care. Dr Lindsay has a specific interest in the health economics of skin cancer, including primary and secondary prevention.

Dr. Aminath Shausan

Dr. Aminath Shausan is a Senior Research Fellow in the Cancer Economics Group at the Viertel Research Centre, Cancer Council Queensland. Her research focuses on the cost-effectiveness of cancer interventions and the financial burden of cancer prevention and care, with a particular interest in skin cancer. Her previous work includes multidisciplinary research in climate and health, antimicrobial resistance, disease forecasting, epidemic simulation, machine learning, and natural language processing.