I am a Chancellor's Fellow in Data Driven Innovation, Space and Satellite. My research focuses on the use of remote sensing to tackle the water-energy-environment trilemma. At present, I am using multispectral satellite imagery, in situ data, and machine learning techniques to investigate processes modelling the coastal environment. I am also interested in studying the interaction of marine energy converters and the coast, as well as the relationship between these, social and environmental factors, and the built environment. I hold a PhD in Energy Systems & Dynamics of Biogeochemical Flows.
My story so far
I started my studies in Ingenieria de Caminos, Canales y Puertos (MEng Civil & Environmental Engineering) at the University of Granada (Spain) in 2008, focusing on marine energy and coastal engineering. In 2013 I did an MSc in Environmental Hydraulics, specialised in aero-hydrodynamics.
I moved in 2014 to Oxford, where I worked as a Researcher in Coastal Structures at HR Wallingford. During that time, I developed my computational fluid dynamics skills, analysing the effect of storms in breakwaters and wave energy converters. In 2015 I was awarded a Talentia Fellowship to pursue a joint PhD at the University of Edinburgh in collaboration with the University of Granada. My PhD thesis studied the effect of humidity in wave energy performance from analytical and numerical perspectives.
From 2017, I worked at the University of Edinburgh as a Postdoctoral Research Associate in Marine Energy, where I studied the life cycle and techno-economics of marine energy converters, as well as the numerical modelling of ocean energy arrays. Moreover, I was a Work Package leader for a €20M H2020 project from the European Commission working on numerical tools for the optimisation of tidal energy farms.
In September 2018, I was awarded a Chancellor's Fellowship in Data Driven Innovation focusing on satellite applications for the ocean.
Latest research projects
I lead the Coastal and Environmental Remote Sensing Group (CEReS) at the School of Engineering, check our work in the section Further Information below.
During 2019, I was a co-Investigator for the Data Lab funded project Machine learning for the data-driven prediction of battery life cycle, in collaboration with the School of Mathematics (£100k). During 2020, I was a Principal Investigator (PI) in the EPSRC Supergen ORE Hub funded project SCORE: Satellite Climate Observation for Offshore Renewable Energy Cost Reduction (£120k).
At present, I am the PI for a Train @ Ed Horizon 2020 Marie Skłodowska-Curie Actions COFUND project Data-driven structural testing for tidal energy (£200k). I am a co-I and part of the management team of the EPSRC and NERC Centre for Doctoral Training in Offshore Renewable Energy IDCORE (£6.1M). I am also part of the management team of the NERC Centre for Satellite Data in Environmental Science, SENSE.
I am the PDRA Champion for the School of Engineering since August 2020. I recently participated in the podcast series Edinburgh: Space Data Capital, you can listen to my episode "Marine from Space" here. I also was part of the UK Parliament POSTnote in Remote Sensing and Machine Learning published in 2020. I am a honorary member of the Topic Editorial Board for the MDPI journal Remote Sensing.