Jessica Kasza is a senior lecturer in biostatistics in the School of Public Health and Preventive Medicine at Monash University. After completing a PhD in 2010 at the University of Adelaide, she spent time at the University of Copenhagen, before returning to the University of Adelaide. She has been at Monash University since 2013. She leads the development of statistical methodology for longitudinal cluster randomised trials, including the stepped wedge and cluster cross over designs. She also has interests in the comparison of healthcare providers and causal inference. In her role as President of the Statistical Society of Australia, Jessica is keen to ensure that the Australian statistical community is safe, welcoming and inclusive.

I'm interested in developing theory for longitudinal cluster randomised trials, causal inference, and healthcare provider comparison. Within the area of longitudinal cluster randomised trials, I'm interested in developing more accurate within-cluster correlation structures, more efficient trial designs, and developing causal inference methodology for cluster randomised trials.