
Career
- 2020-present: Junior Research Fellow, Homerton College, University of Cambridge
- 2016-2020: PhD, DAMTP, University of Cambridge
- 2015-16: MSci Physics, Gonville and Caius, University of Cambridge
- 2012-15: BA Natural Sciences, Gonville and Caius, University of Cambridge
Research
Amelia is a member of the Department of Applied Mathematics and Theoretical Physics Relativity and Gravitation research group. Her current research interests are axion and gravitational wave signatures from cosmic strings, and neutrino oscillations around black holes. She is a developer of the adaptive mesh numerical relativity code, GRChombo (https://www.grchombo.org/).
Publications
Lessons for adaptive mesh refinement in numerical relativity
– Classical and Quantum Gravity
(2022)
(DOI: 10.1088/1361-6382/ac6fa9)
Radiation from Global Topological Strings using Adaptive Mesh Refinement: Methodology and Massless Modes
– Physical Review D
(2022)
105,
063517
(DOI: 10.1103/physrevd.105.063517)
GRChombo: An adaptable numerical relativity code for fundamental physics
– Journal of Open Source Software
(2021)
6,
3703
(DOI: 10.21105/joss.03703)
Black holes, gravitational waves and fundamental physics: a roadmap
– Classical and Quantum Gravity
(2019)
Volume 36,
143001
(DOI: 10.1088/1361-6382/ab0587)
Using computing models from particle physics to investigate dose-toxicity correlations in cancer radiotherapy
– Journal of Physics: Conference Series
(2017)
898,
072048
Applying physical science techniques and CERN technology to an unsolved problem in radiation treatment for cancer: the multidisciplinary 'VoxTox' research programme.
– CERN IdeaSquare Journal of Experimental Innovation
(2017)
1,
3
(DOI: 10.23726/cij.2017.457)
Accuracy of manual and automated rectal contours using helical tomotherapy image guidance scans during prostate radiotherapy.
– Journal of Clinical Oncology
(2015)
33,
94
Training Neural Machine Translation (NMT) Models using Tensor Train
Decomposition on TensorFlow (T3F)