Ati Rostami

PhD, School of Mathematical Sciences

Ati is a PhD student in applied mathematics at the Queensland University of Technology (QUT), the ARC Centre of Excellence for Plant Success in Nature and Agriculture. She is currently working on improving and calibrating mathematical models of biological processes in plants. She is using Sequential Monte Carlo (SMC) to conduct Bayesian inference to calibrate the mathematical models of plants. Ati is also interested in using stochastic differential equations to describe the response of plants to climate variability.