Statistical methods & theory | The Alan Turing Institute

Projects

MRI scanner

Inverse problems

Developing statistical tools for problems in applications such as medical imaging and industrial safety, where unknown parameters are determined from observations and measurements

Steel bridge

Instrumented infrastructure

Developing new statistical methods for sensor data to improve how infrastructure is delivered, maintained and controlled

Waves

Adaptive MCMC

Optimising sampling algorithms used for genomics, infectious diseases, climate, and financial and industrial models

Grey London

London air quality

Developing machine learning algorithms and data science platforms to understand and improve air quality over London

Jet turbine

Estimating system health from streaming sensor data

Developing methods to estimate the health of engineering systems from real-time sensor data, to make predictions about the health in the future

People

Edmond Awad

Dr Edmond Awad

Turing Fellow

Christine Currie

Professor Christine Currie

Turing Fellow

Richard Harris

Professor Richard Harris

Turing Fellow

Manolis Mavrikis

Professor Manolis Mavrikis

Turing Fellow

Jonathan Bamber

Dr Jonathan Bamber

Turing Fellow

He Wang

Dr He Wang

Turing Fellow

Henry Reeve

Professor Henry Reeve

Turing Fellow

Athanasios Tsanas

Dr Athanasios Tsanas

Turing Fellow

Sotiria Fotopoulou

Dr Sotiria Fotopoulou

Turing Fellow