Artificial Intelligence Lab

Artificial Intelligence Lab

The BAS Artificial Intelligence Lab (or ‘BAS AI Lab’) aims to foster the application of various machine learning (and adjacent) techniques to the rapidly growing, complex, and heterogeneous body of data found in atmospheric, oceanic, and Earth sciences.

Machine Learning Workshop 2019
Machine Learning for Environmental Sciences Workshop and Hackathon, BAS, June 2019 (blog post)

PhD opportunities 

  • Centre for Doctoral Training (CDT) in the Application of Artificial Intelligence to the study of Environmental Risks (Website, Twitter)

Research areas

  • AI for Climate
  • AI for Oceans
    • Adjoint modelling and (emerging) state estimation methods [Dan Jones]
    • Clustering ocean water masses [Dan Jones]

 

Other relevant groups

Past talks and meetings

Featured reports

Emily Shuckburgh

Dynamical Oceanographer

Polar Oceans team

Dan Jones

Physical Oceanographer (Adjoint Modelling)

Polar Oceans team

Andrew Meijers

Deputy Science Leader - Polar Oceans

Polar Oceans team

Tony Phillips

Climate Model Data and Analysis Software Manager

Atmosphere, Ice and Climate team

Anita Faul

Data Scientist

Tom Andersson

Data Scientist

Andrew Fleming

Remote Sensing Data Coordinator

Mapping and GIS team

Peter Fretwell

Geographic Information Officer

Mapping and GIS team

Rachel Furner

PhD Student

Premdeep Gill

PhD Student

Jonathan Rosser

PhD Student

Graduate Students

Former Members

Tom Andersson (MEng Part IIB Dissertation, Machine Learning Group, Cambridge, 2019), Shahel Khan (Part III Project, Univ. Cambridge, 2017-2018), Stratis Markou (Internship, Machine Learning Group, Cambridge, 2017), Lille Borresen (Internship, 2018), Daniel Popa-Christobal (Internship, 2018), Harry Holt (paper, Internship, 2017)

External collaborators

AI for Environmental Sciences

21 July, 2019 by Rachel Furner

Rachel Furner is a PhD student at British Antarctic Survey, which has recently opened up its new AI Lab, that aims to foster the application of various machine learning (and …




Using AI to help tackle global environmental challenges

26 February, 2019

A new Centre for Doctoral Training, involving researchers from British Antarctic Survey, will develop Artificial Intelligence (AI) techniques to address critical environmental challenges. Climate change and environmental hazards pose some …



Watching whales from space

1 November, 2018

Scientists have used detailed high-resolution satellite images provided by Maxar Technologies’ DigitalGlobe, to detect, count and describe four different species of whales. Reported this week in the journal Marine Mammal …



FEATURED PAPER: Temperature change in Sichuan

13 November, 2017

The Sichuan basin is one of the most densely populated regions of China. Along with insufficient arable land and economic underdevelopments, this region is particularly vulnerable to climate-related stresses. Improving …