Career
- 2015-2016: Part III, focused on statistics and applied analysis
- 2012-2015: Undergraduate degrees in mathematics and physics
Research
Ferdia is a member of the Department of Applied Mathematics and Theoretical Physics. His current research interests lie at the interface of applied analysis and statistics.
Publications
Equivariant neural networks for inverse problems
– Inverse Problems
(2021)
37,
085006
(DOI: 10.1088/1361-6420/ac104f)
Structure-preserving deep learning
– European Journal of Applied Mathematics
(2021)
32,
888
(DOI: 10.1017/S0956792521000139)
Learning the Sampling Pattern for MRI.
– IEEE Trans Med Imaging
(2020)
39,
4310
(DOI: 10.1109/tmi.2020.3017353)