Dr Cain Moylan
Job: Environmental Modeller
Employer: HR Wallingford
PhD Thesis: Sensitivity, uncertainty and refinement in a global flood model
PhD Supervisors: Dr Jeff Neal and Professor Jim Freer
Cain was a PhD student on the WISE CDT between 2015-19 and was based at the University of Bristol. He successfully defended his PhD thesis on “Sensitivity, uncertainty and refinement in a global flood model” on 9th December 2020. He is currently an Environmental Modeller within the Flood and Water Management Group at HR Wallingford, where he has been working since late 2019.
Prior to joining the WISE CDT Cain studied at Cardiff University, being awarded an MEng in Civil Engineering in the summer of 2015. Whilst at Cardiff Cain’s major final year project undertaken was the design of an integrated wind and solar farm. Cain focused on the solar component, overseeing the design of the entire solar park, and a rudimentary design of the electrical components. This project cultivated a strong interest in renewable energy, as well as providing valuable insight into how to solve problems of which Cain did not have prior knowledge.
Cain undertook various volunteering projects during his degree. He spent time in Ghana and Tanzania, aiding in the construction of household rainwater harvesters and new toilets for a school, respectively. Whilst these were not specifically technical projects, he learnt a lot about the value of logistics and infrastructure, in the context of the developing world; specifically in the context of water resource.
- Flood modelling in data sparse regions
- Applications of big data to the water industry / water modelling
- Sensitivity and uncertainty in flood modelling
- Hydrodynamics at the catchment scale
- Water infrastructure in the developing world