Projects
Digital twins for multiphase flow systems
Integrating data, physics and machine learning to develop rapid predictive models for engineered multiphase flow systems
AI for control problems
Using a competition platform to accelerate progress in data-driven control problems
Synthetic population estimation and scenario projection
Producing high resolution population projections and a framework for exploring future scenarios
Turing GeoVisualization Engine
Developing a web-based visual analytics tool for geo-spatial data science
Digital twins for infrastructure and construction
Developing the mathematical and statistical underpinnings of digital twins of assets such as bridges
An analytics dashboard for A&E
Developing a digital tool that uses advanced analytics to assist A&E nurses in safely triaging the most critical patients
People
Fabian Gunzinger
Enrichment Student
Beatriz Costa Gomes
Research Assistant
Dr Derek Snow
Research Associate
Torty Sivill
Doctoral Student
Léo Gorman
Doctoral Student
Sally O'Brien
Enrichment Student
Dr Myriam Neaimeh
Data-Centric Engineering Group Leader
Dr Roly Perera
Senior Research Software Engineer
Professor Alan Brown
Turing FellowEvents
Reliability and reproducibility in computational science
Friday 24 Jan 2020
Time: 09:30 - 17:00
Open source challenges in the enterprise
Thursday 04 Jul 2019
Time: 17:30 - 19:00
Software Citation
Monday 13 May 2019 - Tuesday 14 May 2019
Time: 13:00 - 16:30
Articles
Impact stories
Helping London to navigate lockdown safely
Project Odysseus monitors activity on the streets of London, allowing authorities to make interventions to keep people socially distanced
