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Jacinta is a Postdoctoral Fellow in the QUT School of Mathematical Sciences and Centre for Environment. She develops new statistical machine learning methods to solve environmental and sustainable development problems. Her research currently focuses on developing new Bayesian experimental design approaches for modelling biodiversity and using remote sensing analysis to monitor change in forests.
Previously, Jacinta worked as a research associate in the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) at QUT, where she also completed a PhD. She has developed and taught hands on workshops on machine learning methods for analysing satellite imagery data for the United Nations, and run these workshops in Bogota, Colombia and Bangkok, Thailand. She also worked for the Australian Bureau of Statistics for years, more recently in methodology and tourism statistics roles.
Jacinta has degrees in statistics, journalism and economics, and enjoys working collaboratively to use data science to better understand, monitor and manage the environment.