Sougol is a PhD researcher, specialising in atmospheric science and inverse modelling. Her work focuses on improving the accuracy of methane emission estimates using high-resolution modelling and in-situ observations, with recent applications to monitoring in the mining and energy sectors across Australia.
She brings a systems-thinking approach to climate research, with projects spanning AI-assisted analysis and Bayesian data assimilation to atmospheric modelling of greenhouse gases. Her work reflects a deep interest in bridging earth systems and data science, and she is driven by a commitment to producing actionable insights for climate policy and emissions reduction.
