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Dr Sahani Pathiraja

Dr Sahani Pathiraja

Lecturer
Science
School of Mathematics & Statistics

I am a Lecturer (tenure track assistant professor) in Data Science in the school.听 My broad research interests lie in the theory and application of data science methods.听听One of my overarching goals is to develop stronger connections between the mathematical & statistical foundations of data science methods and their applications.听 I am motivated by 1) how applications can inspire new theory and 2) how theory be developed in a more practically relevant way.听听听听听听听听听听听听听听

My research has primarily focused on 1) Monte Carlo methods for sequential Bayesian inference in continuous and discrete time; 2) stochastic analysis of McKean-Vlasov type non-linear filtering methods 3) methods for quantifying model uncertainty from data and 4) real-time estimation of non-stationary model parameters.听 I am particularly motivated by applications in the environmental and biomedical sciences.听

For more information see my听.
Phone
+61 2 8065 0836
E-mail
s.pathiraja@unsw.edu.au
Location
Room 2070, Level 2 The Red Centre 黑料网大事记 Sydney 2052
  • Book Chapters | 2018
    Moradkhani H; Nearing G; Abbaszadeh P; Pathiraja S, 2018, 'Fundamentals of Data Assimilation and Theoretical Advances', in Handbook of Hydrometeorological Ensemble Forecasting, Springer Berlin Heidelberg, pp. 1 - 26,
  • Journal articles | 2025
    Chatterjee S; Gaidzik F; Sciarra A; Mattern H; Janiga G; Speck O; N眉rnberger A; Pathiraja S, 2025, 'PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation', Medical Image Analysis, 103,
    Journal articles | 2025
    Pathiraja S; Wacker P, 2025, 'Connections between sequential Bayesian inference and evolutionary dynamics', Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 383,
    Journal articles | 2024
    Pathiraja S, 2024, 'L 2 convergence of smooth approximations of stochastic differential equations with unbounded coefficients', Stochastic Analysis and Applications, 42, pp. 354 - 369,
    Journal articles | 2023
    Kapoor A; Pathiraja S; Marshall L; Chandra R, 2023, 'DeepGR4J: A deep learning hybridization approach for conceptual rainfall-runoff modelling', Environmental Modelling and Software, 169,
    Journal articles | 2022
    Pathiraja S; van Leeuwen PJ, 2022, 'Multiplicative Non-Gaussian Model Error Estimation in Data Assimilation', Journal of Advances in Modeling Earth Systems, 14,
    Journal articles | 2021
    Gaidzik F; Pathiraja S; Saalfeld S; Stucht D; Speck O; Th茅venin D; Janiga G, 2021, 'Hemodynamic Data Assimilation in a听Subject-specific Circle of Willis Geometry', Clinical Neuroradiology, 31, pp. 643 - 651,
    Journal articles | 2021
    Pathiraja S; Reich S; Stannat W, 2021, 'Mckean-Vlasov SDEs In Nonlinear Filtering', SIAM Journal on Control and Optimization, 59, pp. 4188 - 4215,
    Journal articles | 2021
    Pathiraja S; Stannat W, 2021, 'ANALYSIS OF THE FEEDBACK PARTICLE FILTER WITH DIFFUSION MAP BASED APPROXIMATION OF THE GAIN', Foundations of Data Science, 3, pp. 615 - 645,
    Journal articles | 2020
    De Wiljes J; Pathiraja S; Reich S, 2020, 'Ensemble transform algorithms for nonlinear smoothing problems', SIAM Journal on Scientific Computing, 42, pp. A87 - A114,
    Journal articles | 2019
    Pathiraja S; Reich S, 2019, 'Discrete gradients for computational Bayesian inference', Journal of Computational Dynamics, 6, pp. 385 - 400,
    Journal articles | 2018
    Pathiraja S; Anghileri D; Burlando P; Sharma A; Marshall L; Moradkhani H, 2018, 'Insights on the impact of systematic model errors on data assimilation performance in changing catchments', Advances in Water Resources, 113, pp. 202 - 222,
    Journal articles | 2018
    Pathiraja S; Anghileri D; Burlando P; Sharma A; Marshall L; Moradkhani H, 2018, 'Time-varying parameter models for catchments with land use change: The importance of model structure', Hydrology and Earth System Sciences, 22, pp. 2903 - 2919,
    Journal articles | 2018
    Pathiraja S; Moradkhani H; Marshall L; Sharma A; Geenens G, 2018, 'Data-Driven Model Uncertainty Estimation in Hydrologic Data Assimilation', Water Resources Research, 54, pp. 1252 - 1280,
    Journal articles | 2018
    del Moral P; Bishop A; Pathiraja S, 2018, 'Perturbations and projections of Kalman鈥揃ucy semigroups', Stochastic Processes and their Applications,
    Journal articles | 2018
    del Moral P; Bishop A; Pathiraja S, 2018, 'Perturbations and projections of Kalman鈥揃ucy semigroups', Stochastic Processes and their Applications, 128, pp. 2857 - 2904,
    Journal articles | 2016
    Pathiraja S; Marshall L; Sharma A; Moradkhani H, 2016, 'Detecting non-stationary hydrologic model parameters in a paired catchment system using data assimilation', Advances in Water Resources, 94, pp. 103 - 119,
    Journal articles | 2016
    Pathiraja S; Marshall L; Sharma A; Moradkhani H, 2016, 'Hydrologic modeling in dynamic catchments: A data assimilation approach', Water Resources Research, 52, pp. 3350 - 3372,
    Journal articles | 2012
    Pathiraja SD; Westra SP; Sharma A, 2012, 'Why continuous simulation? the role of antecedent moisture in design flood estimation', Water Resources Research, 48, pp. Article number: W06534,
  • Preprints | 2025
    Crucinio FR; Pathiraja S, 2025, Sequential Monte Carlo approximations of Wasserstein--Fisher--Rao gradient flows,
    Preprints | 2024
    Pathiraja S; Wacker P, 2024, Connections between sequential Bayesian inference and evolutionary dynamics,
    Preprints | 2024
    Pathiraja S; Wacker P, 2024, Mathematical description of continuous time and space replicator-mutator equations for quadratic fitness landscapes,
    Preprints | 2020
    Pathiraja S, 2020, L2 convergence of smooth approximations of Stochastic Differential Equations with unbounded coefficients,
    Conference Papers | 2014
    Phillips BC; Thomson RS; Pathiraja S, 2014, 'Uncertainty in estimation of urban runoff', in Hydrology and Water Resources Symposium 2014, HWRS 2014 - Conference Proceedings, pp. 796 - 803
    Conference Papers | 2012
    Thomson RS; Phillips BC; Goyen AG; Pathiraja S; Griffin M, 2012, 'How connected are Urban catchments? Estimating the effective impervious area', in Proceedings of the 34th Hydrology and Water Resources Symposium, HWRS 2012, pp. 1417 - 1424
    Conference Papers | 2012
    Thomson RSD; Phillips BC; Yu S; Kilaparty B; Fang T; Pathiraja S, 2012, 'Is smaller really better? 2D grid cell size and perceived accuracy', in Proceedings of the 34th Hydrology and Water Resources Symposium Hwrs 2012, pp. 1317 - 1324

  • CI in the ARC Inudstrial transformation training Centre: Data Analytics for Resources and Environment (DARE)听
  • CI in next generation graduate program (NGGP) Sports Data Science and AI听
  • Current research areas: Bayesian inference, sampling and generative modelling, gradient flows, stochastic analysis of data science methods, machine learning, stochastic hydrology, SDEs, machine learning based operator learning听

My Research Supervision

  • Anson MacDonald (joint with Scott Sisson) - Particle-Based Variational Inference with Graph and Time-Series Applications
  • Arpit Kapoor (joint with Rohit Chandra) - Bayesian Deep Learning for Spatio-Temporal modelling with applications in Earth and Environment Sciences
  • Samudra Lamahewage (with Scott Sisson) - Modelling sustainable supply chains听
  • Yiyi Ma (joint with Scott Sisson) - data science and听environment听
  • Skye Williams-Kelly (secondary) -听听Deep learning and Bayesian statistics methods for analysis of precipitation extremes