Regular biography
Dr Sahani Pathiraja is a Lecturer in Data Science at the School of Mathematics & Statistics, The University of New South Wales. His research interests lie in the theory and application of data science methods, with a focus on Monte Carlo methods for sequential Bayesian inference, stochastic analysis of McKean-Vlasov type non-linear filtering methods, and methods for quantifying model uncertainty from data. His work is motivated by applications in the environmental and biomedical sciences. Dr Pathiraja's research has been published in several journals, including Transactions on Machine Learning Research, Statistics and Computing, and Medical Image Analysis.
Scholar-generated biography
Sahani Pathiraja is a researcher at the University of New South Wales with expertise in Data Assimilation, Bayesian Inference, Stochastic Filtering, SDEs, and Hydrology. Their work focuses on integrating observational data with hydrological models to improve flood estimation and catchment modeling. Pathiraja has developed data-driven approaches for uncertainty estimation and has explored the impact of non-stationary parameters in hydrologic systems. They have also contributed to theoretical advances in data assimilation, including sequential Monte Carlo methods and nonlinear filtering. Their research emphasizes the role of antecedent moisture and model structure in dynamic catchments.