Information theory (Statistical methods & theory)

Probabilistic Value-Deviation-Bounded Integer Codes for Approximate Communication

When computing systems can tolerate the effects of errors or erasures in their communicated...

Stanley-Marbell, Phillip, and Paul Hurley. "Probabilistic value-deviation-bounded integer codes for approximate communication." arXiv preprint arXiv:1804.02317 (2018)

Information theory (Statistical methods & theory)

Advancing methodology for predictive healthcare

Developing methodologies for complex health data and individual-level risk prediction

Uncertainty quantification of multi-scale and multi-physics computer models

Developing new tools to investigate and quantify uncertainties in computer models, with applications to climate, earthquake and tsunami models

Data-driven experiment design

Developing new statistical tools to select the most informative biological laboratory experiments to perform, to maximise learning and minimise research costs

Andrea Luppi

Fabian Gunzinger

Shishir Rao

Gabriel Jones

Tom Bewley

Dr Neil Dhir

Dr Peter Foster

Professor Philip Dawid

Lizhi Zhang

Statistics and computation

Information-Theoretic Foundations and Algorithms for Large-Scale Data Inference

Probabilistic Value-Deviation-Bounded Integer Codes for Approximate Communication

When computing systems can tolerate the effects of errors or erasures in their communicated...

Omics data generation and analysis group

Developing rigorous and robust data science methods for curation, collection and computation of omic data sets

Analysis of networks

What problems of mutual interest are there for researchers interested in network analysis?

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