Ms Rachel Furner

PhD student

Contact information

Biography

Career
2018-present: PhD student at DAMTP, partnered by the British Antarctic Survey (BAS), supervised by Emily Shuckburgh at BAS and Peter Haynes at DAMTP
2016-2018: Coordinator of the CCIMI and CMIH
2008-2016: Coastal modelling scientist, UK Met Office
2004-2007: BA Mathematics, University of Oxford
Research
Rachel is part of the Dynamical Meteorology & Oceanography research group at DAMTP, and the Polar Oceans group at BAS. Her current research looks at novel modelling techniques for the ocean carbon cycle, with a focus on big data approaches, such as machine learning. Her past work involved process based modelling of the physical ocean, specifically the UK shelf seas.

Research interests

Climate Science, Ocean Modelling, Big Data, Machine Learning

Publications

Themes

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science.

The Centre is funded by a series of collaborations with partners in business and industry which have an interest in using data science for the benefit of their customers and their organisations. Our founding partner is Aviva, the UK’s leading insurance company. We work with industrial partners to build a portfolio of collaborative research projects, provide professional development opportunities for their own staff and access to the full breadth and depth of the University’s talent pool in the area of data science.

With unprecedented access to increasing volumes of data, our research ranges from the underlying fundamentals in mathematics and computer science, to data science applications across all six University Schools of Arts and Humanities, Biological Sciences, Clinical Medicine, Humanities and Social Sciences, Physical Sciences, and Technology.

In parallel, our research addresses important issues around law, ethics and economics, in order to apply data science to solve challenging problems for society.

C2D3 supports collaboration and knowledge transfer in this growing field.

Join us.