Causality
Causality is an area concerned with the problem of finding and quantifying the relationship between cause and effect.
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| Member | Research interests |
|---|---|
| Dr Mohammed Abdelsamea | Causality, Emulation / Uncertainty Quantification, Clinical Trials, AI for Humans and Health |
| Professor Jack Bowden | |
| Professor Siobhan Creanor | |
| Dr Sam Engle | Causality, Bayesian Inference Statistical Modelling Frequentist Inference, Decision Theory |
| Professor Oliver Hauser |
Causality, Game theory, Machine learning, Clinical trials, Time series analysis |
| Dr Christis Katsouris | Causality, Network Analysis, Statistical Modelling, Time Series Analysis |
| Professor Mark Kelson |
Causality, Statistical modelling, Machine Learning, Clinical trials, Frequentist inference |
| Dr Sebastian Kripfganz |
Causality, Software Engineering, Time Series Analysis, Statistical Modelling, Frequentist Inference |
| Professor David Llewellyn |
Causality, Machine Learning, Statistical Modelling, Clinical Trials, Precision medicine, Population-based and Clinical datasets |
| Professor Climent Quintana-Domeque | |
| Dr Nitzan Peri-Rotem | Causality, Statistical modelling, Frequentist inference, Survival analysis |
| Dr David Richards | Optimisation, Causality, Physical Modelling, Software Engineering, Machine Learning, Bayesian Inference, Time Series Analysis, Frequentist Inference, High Performance Computing, Statistical Modelling |
| Dr Dario Sansone | Causality, Machine Learning |
| Dr Joerg Weber | Causality, Machine Learning |
