Data Scientists A-Z
| Name | Expertise |
|---|---|
| Mohammed Abdelsamea | Causality, Emulation / Uncertainty Quantification, Clinical Trials, AI for Humans and Health; AI for Humans and Health: a Computer Science Research Theme |
| Pallavi Banerjee | Statistical modelling, Administrative datasets |
| Muhammad Khurram Bhatti | Secure and Distributed Systems: a Computer Science Research Theme |
| 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 |
| Optimisation, Machine learning, Bayesian inference, Statistical modelling, Frequentist inference | |
|
Andrew Corbett |
Deep Neural Networks; Computer Vision; Explainable AI; Physics-Guided Algorithms |
| 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 |
| Hang Dong | AI for Humans and Health: a Computer Science Research Theme |
| Theo Economou | Spatio-temporal modelling, Bayesian inference, Time series analysis, Statistical modelling, High performance computing |
| AI for Humans and Health: A Computer Science Research Theme | |
| Optimisation, Machine learning, Machine vision, Emulation / uncertainty quantification, Signal processing | |
| Physical Modelling, Machine Learning, Network Analysis, Time Series Analysis, Statistical Modelling, Computation, Environment and Society: a Computer Science Research Theme | |
| 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 |
| Andrew Howes | AI for Humans and Health: a Computer Science Research Theme |
| 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 |
| Lu Liu | Computation, Environment and Society: a Computer Science Research Theme |
| Chunbo Luo | Machine learning, Machine vision, Communications, Signal processing |
| Tj McKinley | Bayesian inference, Statistical modelling |
| Yanda Meng | AI for Humans and Health: a Computer Science Research Theme |
| Wang Miao | Secure and Distributed Systems: a Computer Science Research Theme |
| 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 |
| Aline Villavicencio | Natural Language Processing, AI for Humans and Health: a Computer Science Research Theme |
| Hywel Williams |
Computational social science, Network analysis, Communications; and Computation, Environment and Society: and Machine Learning and Optimisation: Computer Science Research Themes |
| Danny Williamson | Decision theory, Optimisation, Machine learning, Bayesian inference, Statistical modelling, Emulation / uncertainty quantification |
| Beth Wingate | Numerical Analysis, Physical modelling, High performance computing |
| Xujiong Ye | AI for Humans and Health: a Computer Science Research Theme |
| Yunxiao Zhang |
Optimisation, Game Theory, Data Security, Misinformation, Secure and Distributed Systems: a Computer Science Research Theme |
