Dr Juan Manuel Castillo
Juan Manuel is responsible for delivering and supporting high resolution, regional coupled systems
Areas of expertise
- Coupled models in meteorology
- Polymer science, phase equilibrium, theoretical thermodynamics
- Molecular simulation
- High performance computing
Publications by Dr Juan Castillo
Current activities
Juan Manuel is currently part of the UK Environmental Prediction team, working as a Scientific Software Engineer.
UK Environmental Prediction draws together a number of scientists and software developers working at the Met Office and in partner organisations, across modelling aspects of the atmosphere, ocean (including currents, waves and biogeochemistry) and land surface (including hydrology). A Prototype project to build and evaluate a first look regional coupled prediction system for the UK at ~1km scale is currently under way.
Juan Manuel's personal research work within this project is currently aiming to implement and support a series of high resolution, regional coupled configurations: atmosphere/ocean, ocean/wave, and atmosphere/ocean/wave.
Career background
Juan Manuel joined the Met Office in 2015, and since then he has been working in the UK Environmental Prediction team developing a regional coupled prediction prototype.
Between 2012 and 2014 Juan Manuel worked as a research assistant at the University of Kaiserslautern, investigating the phase transition of hydrogels, the properties of Self Assembling Monolayers, and the catalytic activity of enzymes by molecular simulation. Between 2010 and 2012 he worked as a research assistant at the University of Stuttgart, where he investigated phase transitions by developing advanced molecular simulation techniques.
Juan Manuel completed a PhD at the Delft University of Technology, investigating the adsorption, diffusion and separation of components of interest for the chemical industry by porous materials, using molecular simulation tools. As an undergraduate, Juan Manuel studied Theoretical Physics at the University of Granada.