Technology research and innovation team making environmental data more effective, and usable.

What we do

 

The Met Office Informatics Lab combines scientists, technologists and designers to make environmental science and data useful. We build prototypes with new technologies to push the boundaries of science, technology and design. In particular we utilise the aspects of design thinking, agile technology development and the scientific method to improve the user experience and utility of growing volumes and velocities of data.


We achieve this through prototyping solutions, publishing insight and collaborating both within and outwith the Met Office. These include art schools, big tech, national laboratories and more. We explore the limits and utilisation of data science techniques, such as machine learning and scalable data platforms.

Our research

 
Our projects have spanned from building scalable big data platforms, to researching the future of Operational Meteorology. Check out our Medium blog to find out about our past and current research.
Read our blog

Our team

Alberto Arribas
Alberto Arribas

Alberto Arribas

Alberto is the Head of the Informatics Lab, a Professor at the University of Exeter Institute for Data Science and AI and a Fellow at the Alan Turing Institute. With a background in physics and over 20 years experience he leads the strategy of the group in areas covering R&D, Infrastructure Development and Capability Building.

Niall Robinson

Niall is the Deputy Head of the Informatics Lab. He leads research and technical prototyping to find new ways to make use of earth science data.

Niall Robinson
Sam Adams
Sam Adams

Sam Adams

Sam is a Scientific Systems Manager with a focus on pull-through from Informatics Lab research into benefits for the wider Met Office. In particular, this is in the area of Data Science and Machine Learning. She has over 20 years experience as a scientific software engineer and has a PhD and post-doctoral research experience in biologically-inspired computing, encompassing Machine Learning and AI. Sam’s current research interests are in unsupervised ML techniques applied to Weather and Climate data.

Maria Athanassiadou

Maria Athanassiadou

Maria is a Research Scientist with a background in Mathematics and Meteorology. She joined the informatics lab with many years of research experience, both at the Met Office and Post doc work. Her areas of expertise include gravity waves & complex flows around orography, wind tunnel measurements, atmospheric and dispersion modelling, air quality, large scale dynamics and satellites for environmental applications.

Maria Athanassiadou
Kevin Donkers
Kevin Donkers

Kevin Donkers

Kevin is a Research Technologist in the Informatics Lab, with a focus on making data more findable, usable and traceable in modern Scientific Research. He has a Masters in Chemical Physics and a background in physical science research, automated chemistry platforms and scientific software engineering.

Megan Fitzsimons

Megan Fitzsimons

Megan is designer and researcher in the Informatics Lab. She works to implement design and user experience principles into the prototyping process.

Megan Fitzsimons
Pete Killick
Pete Killick

Pete Killick

Pete is a lapsed physicist and scientific software developer with a lingering affection for his past lives. His main area of research within the Lab is on producing platforms for intuitive data exploration, but secretly his real love is new computational hardware.

Sam Madge

Sam Madge

Sam is a recent Physics graduate from Exeter uni. He is interested in using Augmented Reality technology to expand the understandability of data.

Sam Madge
Theo Mccaie
Theo Mccaie

Theo McCaie

Theo is a multi-skilled technologist, focussed on enabling everyone from individuals to large organisations to extract insights and intelligence from huge and complex datasets. Theo does this both by pushing forward technology research/innovation and by working directly with small to medium enterprises through his role in the Impact Lab.

Rachel Prudden

Rachel Prudden

Rachel is a Researcher in the Informatics Lab, with a focus on applying Machine Learning to Atmospheric and Earth Science. She is also undertaking a part-time PhD at the University of Exeter, investigating probabilistic super-resolution of weather models at convective scales.

Rachel Prudden

Contact us

The Informatics Lab
Met Office HPC Complex,
Upper Richardson,
Science Park,
Exeter
EX5 2FS

@informatics_lab