معرفی
Jessica Kasza is a Professor of Biostatistics at Monash University's School of Public Health and Preventive Medicine. She leads methodological advancements in longitudinal cluster randomized trials, particularly in stepped wedge and cluster crossover designs. Her research interests include causal inference, healthcare provider comparison, and optimizing trial designs for efficiency. She has held leadership roles, including President of the Statistical Society of Australia (2020–2022), advocating for an inclusive statistical community. She completed her PhD at the University of Adelaide and has been at Monash since 2013.
- Education:
- PhD in Statistics, University of Adelaide (2010)
- Bachelor of Mathematical and Computer Sciences (Honours), University of Adelaide (2005)
- Bachelor of Science in Pure Mathematics and Statistics, University of Adelaide (2004)
Research Interests: Her work focuses on statistical methods for longitudinal cluster trials, causal inference frameworks, and improving healthcare provider comparisons. She has contributed to SDGs related to health and well-being through methodological innovations.
Recent Projects: Includes initiatives like the Flexible Stepped Wedge Design Research (2025–2028) and the Residential Aged Care Enhanced Dementia Diagnosis Study (2022–2028). She collaborates on projects addressing rural healthcare access and clinical trial design optimization.
Key Awards: Includes the 2016 AMREP Best Paper Award, multiple John McNeil Early Career Researcher Prizes (2016, 2018, 2019), and the 2019 Alfred Research Alliance Best Paper Award.
Grants & Teams: Active in securing ARC and NHMRC grants. Collaborates with multidisciplinary teams on trials like the Mega-ROX HIE and SCANPatient studies. Her work emphasizes practical applications in healthcare and statistical rigor.
