Projects

Data-driven policing

Designing decision support systems that combine crime data with other forms of intelligence to inform the policing of serious violence that is often enacted or enabled collaboratively.
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Ada Lovelace Institute

Harnessing the power of data, algorithms, and artificial intelligence for social well-being, in partnership with the Nuffield Foundation.
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Adaptive MCMC

Optimising sampling algorithms used for genomics, infectious diseases, climate, and financial and industrial models.
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Clean air in London

Developing machine learning algorithms and data science platforms to understand and improve air quality over London.
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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.
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Large transport systems

Developing models of passenger movement and reaction to closures, to learn how usage fluctuates in systems like the London Underground.
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Disaster management

Developing novel machine learning approaches to data fusion, to aid with disaster management policy and response.
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Probabilistic numerics

Using probability to more accurately model the difference between a real, physical system and a mathematical approximation of that system, improving engineering practice.
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Security in the cloud

Investigating and prototyping the secure software components needed to enable data sharing without compromising data privacy.
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Counterfactual fairness

Making algorithm-led decisions fairer by ensuring their outcomes are the same in the actual world and a 'counterfactual world' in which an individual belongs to a different demographic.
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