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Data Scientists A-Z

Name Expertise 
Ozgur Akman Optimisation, Physical modelling, Time series analysis
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

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
Lorenzo Livi Machine learning, Network analysis, Time series analysis, Signal processing
Chunbo Luo Machine learning, Machine vision, Communications, Signal processing
Tj McKinley Bayesian inference, Statistical modelling
Anna Mountford-Zimdars Statistical modelling
Markus Mueller Optimisation, Machine learning, Time series analysis, Signal processing
Bernard Nortier Optimisation, Machine learning, Bayesian inference, Time series analysis, Statistical modelling, Emulation / uncertainty quantification, Frequentist inference
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
Gavin Shaddick Spatial / spatio-temporal analysis, Machine learning, Bayesian inference, Time series analysis, Statistical modelling
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