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Dimitra is a Senior Research Fellow in the Statistical Science Department and a visiting researcher at the Alan Turing Institute, affiliated to the data-centric engineering programme.
Dimitra has been working as a postdoctoral researcher at UCL since 2017, after obtaining her PhD in Applied and Computational Mathematics (University College Dublin, Ireland). She is currently a Co-I in the project "Future Indonesian Tsunamis: Towards End-to-end Risk quantification (FITTER)" where she leads the Work Package: “Bathymetry and Source Parameterisations”.
Dimitra’s research focuses on earthquake and landslide induced tsunami hazard through high-resolution numerical modelling and implementation of state-of-the-art methods for uncertainty quantification (UQ), such as Gaussian Process Emulation, Bayesian inference and adaptive experimental design. She also works on tsunami evacuation case studies with the aid of agent-based models (ABMs).
Dimitra has been working as a postdoctoral researcher at UCL since 2017, after obtaining her PhD in Applied and Computational Mathematics (University College Dublin, Ireland). She is currently a Co-I in the project "Future Indonesian Tsunamis: Towards End-to-end Risk quantification (FITTER)" where she leads the Work Package: “Bathymetry and Source Parameterisations”.
Dimitra’s research focuses on earthquake and landslide induced tsunami hazard through high-resolution numerical modelling and implementation of state-of-the-art methods for uncertainty quantification (UQ), such as Gaussian Process Emulation, Bayesian inference and adaptive experimental design. She also works on tsunami evacuation case studies with the aid of agent-based models (ABMs).
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EARTH AND SPACE SCIENCEno. 8 (2023)
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