About Me

Areas of Expertise

  • Mathematical modelling
  • Scientific computing
  • Biomathematics
  • Mathematical pharmacology and G-protein coupled receptors
  • Biomedical modelling and NF-kappaB dynamics
  • Plant science modelling
  • Computational capturing methods for phase change in porous media

Publications

  1. & Dynamic NF-κB and E2F interactions control the priority and timing of inflammatory signalling and cell proliferation. eLife 5
  2. & A method of ‘speed coefficients’ for biochemical model reduction applied to the NF- $$\upkappa $$ κ B system. Journal of Mathematical Biology 70(3), 591-620.
  3. & Impact of plant shoot architecture on leaf cooling: a coupled heat and mass transfer model. Journal of The Royal Society Interface 10(85)-20130326.
  4. & Distinguishing possible mechanisms for auxin-mediated developmental control in Arabidopsis: Models with two Aux/IAA and ARF proteins, and two target gene-sets. Mathematical Biosciences 235(1), 32-44.
  5. & Allosteric interactions across native adenosine-A3 receptor homodimers: quantification using single-cell ligand-binding kinetics. The FASEB Journal 25(10), 3465-3476.

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Teaching

  • MA-008 Fundamental Mathematical Skills

    An introduction to key mathematical skills, necessary in studying for a mathematics degree, and in pursuing a mathematical career. A mix of lectures and small group tutorials will address analytical, thinking, communication, organization, presentation, IT and employability skills.

  • MA-162 Computational Methods (with Matlab)

    An introduction to computational methods. The module covers basic problems in computation including error analysis and methods for solving equations. It also highlights the use of MATLAB in the numerical solution of problems, as well as symbolic computation.

  • MA-303 Mathematical Modelling

    An introduction to mathematical modelling. The course will look at a variety of models taken from real world problems and discuss how complex mathematical ideas can be applied to their study.

  • MA-371 Biomathematics

    Mathematical biology has become a vast research area, spanning many sub-fields from mathematical ecology to systems biology and medicine. This module gives an introduction to mathematical modelling applied to the biosciences, with no previous knowledge of biology assumed. The focus is on modelling biological phenomena and applying mathematical and numerical techniques to solve the model problems, which largely comprise systems of differential equations.

  • MA-M03 Mathematical Modelling

    An introduction to mathematical modelling. The course will look at a variety of models taken from real world problems and discuss how complex mathematical ideas can be applied to their study.

  • MA-M73 Biomathematics

    Mathematical biology has become a vast research area, spanning many sub-fields from mathematical ecology to systems biology and medicine. This module gives an introduction to mathematical modelling applied to the biosciences, with no previous knowledge of biology assumed. The focus is on modelling biological phenomena and applying mathematical and numerical techniques to solve the model problems, which largely comprise systems of differential equations.

Supervision

  • Untitled (current)

    Student name:
    PhD
    Other supervisor: Prof Chenggui Yuan
    Other supervisor: Dr Mike Fowler
  • Untitled (current)

    Student name:
    PhD
    Other supervisor: Prof Venkat Kanamarlapudi