Tim Rogers

Department of Mathematical Sciences

Professor Tim Rogers

Research interests:

  • Graphs and networks
  • Applied stochastic processes
  • Emergent phenomena

Tim is interested in understanding and predicting the behaviour of complicated random events and processes, in particular when there is network or spatial structure involved. Most of his work is connected to the idea of emergence: how large scale order can be created out of the random interactions of individual particles or organisms. The problems come from a wide range of sources including ecology, biochemistry, random matrix theory, social dynamics, and stochastic processes.



Tim Rogers 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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