Data Scientists A-Z

Name	Expertise
Pallavi Banerjee	Statistical modelling, Administrative datasets
Federico Botta	Computational social science, Network analysis, Time series analysis, Statistical modelling
Chico Camargo	Machine learning, Natural language processing, Time series analysis, Network analysis, Software engineering, Signal processing
Tristan Cann	Network Analysis, Computational Social Science, Natural Language Processing and Communications
Peter Challenor	Statistical modelling, Emulation / uncertainty quantification
Tinkle Chugh	Optimisation, Machine learning, Bayesian inference, Statistical modelling, Frequentist inference
Andrew Corbett	Deep Neural Networks; Computer Vision; Explainable AI; Physics-Guided Algorithms
Fabrizio Costa	Bioinformatics, Optimisation, Machine learning
Peter Cox	Emergent Constraints, Physical modelling, Time series analysis
Saptarshi Das	Computational intelligence, Optimisation, Physical modelling, Machine learning, Bayesian inference, Time series analysis, Statistical modelling, Emulation / uncertainty quantification, Frequentist inference, High performance computing, Signal processing
George De Ath	Optimisation, calibration, machine learning, modelling/emulation, Bayesian inference and uncertainty quantification
Riccardo Di Clemente	Human Mobility, Computational Social Science, Network Theory, Physical modelling, Network analysis, Statistical modelling
Theo Economou	Spatio-temporal modelling, Bayesian inference, Time series analysis, Statistical modelling, High performance computing
Richard Everson	Optimisation, Machine learning, Machine vision, Emulation / uncertainty quantification, Signal processing
Chris Ferro	Forecasting, Prediction, Forecast evaluation, Forecast verification, Frequentist inference
Jonathan Fieldsend	Optimisation, Software engineering, Machine learning, Emulation / uncertainty quantification
Oliver Hauser	Causality, Game theory, Machine learning, Clinical trials, Time series analysis
Jia Hu	Machine learning, Communications, High performance computing
Edward Keedwell	Optimisation, Machine learning
Mark Kelson	Causality, Statistical modelling, Machine Learning, Clinical trials, Frequentist inference
Oleksandr Kyriienko	Quantum optics, Computing
Chunbo Luo	Machine learning, Machine vision, Communications, Signal processing
Tj McKinley	Bayesian inference, Statistical modelling
Anna Mountford-Zimdars	Statistical modelling
Markus Mueller	Optimisation, Physical modelling, Machine learning, Time series analysis, Signal processing
Bernard Nortier	Optimisation, Machine learning, Bayesian inference, Time series analysis, Statistical modelling, Emulation / uncertainty quantification, Frequentist inference
Diogo Pacheco
Ravi Pandit	Machine Learning
Nitzan Peri-Rotem	Causality, Statistical modelling, Frequentist inference, Survival analysis
Chris Playford	Statistical modelling, Frequentist inference
Mario Recker	Computational biology, Machine learning
Stefan Siegert	Spatial statistics, Physical modelling, Software engineering, Machine learning, Bayesian inference, Time series analysis, Statistical modelling, Emulation / uncertainty quantification, Frequentist inference
David Stephenson	Environmental statistics, Forecast verification, Physical modelling, Time series analysis, Statistical modelling, Frequentist inference
Stuart Townley	Systems science, Control theory, Nonlinear dynamics, Optimisation, Physical modelling
Krasimira Tsaneva	Physical modelling, Network analysis, Time series analysis
Hywel Williams	Computational social science, Network analysis, Communications
Danny Williamson	Decision theory, Optimisation, Machine learning, Bayesian inference, Statistical modelling, Emulation / uncertainty quantification
Beth Wingate	Numerical Analysis, Physical modelling, High performance computing