Staff
Tristan Pryer

Department of Mathematical Sciences

Professor Tristan Pryer

Research interests:

  • Numerical methods for geophysical fluid problems
  • Natural Disasters
  • Automated computational adaptive algorithms

Tristan’s research centres around questions in numerical analysis and PDE theory. The applications are focused in two main areas, each with industrial links. 1) Natural disasters and their prediction – working with the natural disaster monitoring centre in Brazil, CEMADEN. For example on landslide prediction, integrating techniques to solve inverse problems, engineering, particulate flow and numerical methods for PDEs. 2) Proton therapy treatment planning – in collaboration with clinicians in the NHS, proton transport through tissue is modelled with the ultimate goal of construction of in vivo proton treatment verification. This involves Monte-Carlo techniques, inverse problems, proton physics and numerical methods for PDEs.

 

LINKS:

Tristan Pryer on University of Bath Research Portal

 

Lead Supervisors

Federico Cornalba

Department of Mathematical Sciences

  • Modelling of large-scale interacting particle systems
  • Analysis and numerics of stochastic PDEs of Fluctuating Hydrodynamics
  • Reinforcement Learning methods
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Avi Mayorcas

Department of Mathematical Sciences

  • Regularisation by noise in stochastic partial and ordinary differential equations
  • Stochastic quantisation of physical field theories
  • Game theory and mean field dynamics in macroeconomics and finance
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Christoforos Panagiotis

Department of Mathematical Sciences

  • Percolation and lattice spin models
  • Probability on groups
  • Self-avoiding walk
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Matthew Schrecker

Department of Mathematical Sciences

  • Analysis of Partial Differential Equations
  • Fluid dynamics (especially free boundary problems and nonlinear singularity formation)
  • Shock waves (their formation, structure and dynamics)
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Haiyan Zheng

Department of Mathematical Sciences

  • Adaptive designs in clinical trials
  • Bayesian data augmentation
  • Finite mixture distributions
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Andreas Kyprianou

Andreas was instrumental in the development of SAMBa and was Co-Director from its inception until the end of 2022. He has left the University of Bath to take up the role of Chair of Probability at the University of Warwick.

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Jennifer Tweedy

Department of Mathematical Sciences

  • Mathematical medicine
  • Fluid mechanics
  • Mathematical modelling
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Thomas Burnett

Department of Mathematical Sciences

Tom’s research interest is in medical statistics, with a particular focus on the design and analysis of adaptive clinical trials.

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Vangelis Evangelou

Department of Mathematical Sciences

  • Generalised Linear Models: Modelling, Approximate Methods, Value of Information
  • Spatial and Spatial-Temporal Geostatistics: Modelling, Sampling Design
  • Time Series: Modelling, Sequential Analysis
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Yury Korolev

Department of Mathematical Sciences

  • Inverse problems and imaging
  • Machine learning in infinite dimensions
  • Non-smooth variational problems
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