Projects
Environment and sustainability
Using data science and AI to tackle environmental and climate challenges
Environmental monitoring: blending satellite and surface data
Intelligent fusion of data from satellite and in-situ surface sensors to help understand our changing planet
Shocks and resilience
Measuring policy impact in the COVID-19 crisis and building resilience against future shocks
Uncertainty quantification for black box models
Developing methods for the quantification of uncertainty in complex numerical models
WAYS: What aren’t you seeing?
Enhancing everyday visualisation practice through generative and evaluative design tools for data scientists
People
Alejandro Coca Castro
Postdoctoral Research Associate
Anna Zanchetta
Research Associate
Dr Emily Lines
Turing Fellow
Dr Scott Hosking
Senior Research Fellow
Dr Dani Arribas-Bel
ESRC/Turing Fellow
Dr Ashwini Venkatasubramaniam
Research Associate
Pedro Pinto da Silva
Enrichment Student
Xiaoqing Chen
Doctoral Student
Martyn Fyles
Doctoral StudentInterest groups
Machine learning for radio frequency applications
How do we generate robust, real-time machine learning algorithms with integrated hardware and software for radio frequency applications?
Omics data generation and analysis group
Developing rigorous and robust data science methods for curation, collection and computation of omic data sets
