Physical Modelling
Physical Modeling
Physical modeling are the techniques that aim to model, using mathematical equations, the physical processes.
If you're looking for a data scientist to work with on a research project or someone to discuss potential methodologies with for a research problem, then you search for the topic you need or alternatively use the A-Z button to search the full list of data scientists.
| Name | Expertise |
|---|---|
| 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, Control Systems, Image Processing |
| Riccardo Di Clemente | Human Mobility, Computational Social Science, Network Theory, Physical modelling, Network analysis, Statistical modelling |
| Cyril Morcrette | Physical Modelling, Machine Learning, Emulation/Uncertainty Quantification, High Performance Computing, Atmospheric sciences, environmental sciences, meteorology, atmospheric physics |
| Raphaëlle Haywood | Physical Modelling, Machine Learning, Bayesian Inference, Time Series Analysis; |
| Markus Mueller | Optimisation, Physical modelling, Machine learning, Time series analysis, Signal processing |
| David Richards | Optimisation, Causality, Physical Modelling, Software Engineering, Machine Learning, Bayesian Inference, Time Series Analysis, Frequentist Inference, High Performance Computing, 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 |
| Joel Tabak | Machine Learning, Machine Vision, Physical Modelling, Computational Neuroscience |
| Stuart Townley | Systems science, Control theory, Nonlinear dynamics, Optimisation, Physical modelling |
| Krasimira Tsaneva | Physical Modelling, Network Analysis, Time Series Analysis, experience with applications to biology, medicine and healthcare |
| Beth Wingate | Numerical Analysis, Physical modelling, High performance computing |
