Mathematical Biology
Mathematical Biology is the application of mathematical modelling to solve problems in biology and physiology. It is one of the fastest growing research areas in mathematics and is contributing significantly to our understanding of the biological world. It also produces new mathematical questions.
The Mathematical Biology Group is a member of the Centre for Mathematics Applied to the Life Sciences, established to promote interdisciplinary research and scholarship in Mathematical Biology. It is a joint centre of the Universities of Glasgow and Strathclyde, under the Synergy agreement. Our research interests are summarised here, but the list is not exhaustive and new projects are being started all the time. For more information and contact details, click on the links below.
Staff
Dr Christina A Cobbold : Reader
Population dynamics of ecological systems; spatial ecology; evolutionary ecology in changing environments
Member of other research groups: Biostatistics and Statistical Genetics
Research students: Renato Andrade, Parag Gupta
Dr Jamie Gabe : Honorary Research Fellow/RA
Member of other research groups: Geometry and Topology, Algebra
Dr Hao Gao : Postdoctoral Research Fellow
Heart Modelling; biomechancis; MRI; fluid-structure interactions
Research students: Yalei Yang, Mohammed Ali A Aiyashi, Debao Guan
Supervisor: Xiaoyu Luo
Postgraduate opportunities: Electrophysiological modelling of hearts with diseases
Prof Nicholas A Hill : Simson Chair
Random walk models for movement of micro-organisms and animals; spatial point processes in plant ecology
Member of other research groups: Continuum Mechanics - Modelling and Analysis of Material Systems, Continuum Mechanics - Fluid Dynamics and Magnetohydrodynamics
Research students: Jay MacKenzie, Roxanna Barry, Laura Miller
Postgraduate opportunities: Optimisation of stent devices to treat dissected aorta, Arterial dissection , Mathematical modelling of the heart and the circulation
Prof Xiaoyu Luo : Professor of Applied Mathematics
Biomechanics; fluid-structure interactions; mathematical biology ; solid mechanics
Member of other research groups: Continuum Mechanics - Modelling and Analysis of Material Systems, Continuum Mechanics - Fluid Dynamics and Magnetohydrodynamics
Research staff: Hao Gao, Wenguang Li, Qingying Shu
Research students: Debao Guan, Xin Zhuan, Ahmed Mostafa Abdelhady Ismaeel, Jay MacKenzie
Postgraduate opportunities: Mathematical modelling of the heart and the circulation , Arterial dissection
Dr Benn Macdonald : Research Assistant
Member of other research groups: Statistical Methodology
Supervisor: Dirk Husmeier
Dr Raimondo Penta : Lecturer
Member of other research groups: Continuum Mechanics - Modelling and Analysis of Material Systems, Continuum Mechanics - Fluid Dynamics and Magnetohydrodynamics
Research students: Tahani Al Sariri, Laura Miller
Dr Radostin Simitev : Reader
Reaction-diffusion equations; Excitable systems; Mathematical models of cardiac electrical excitation
Member of other research groups: Continuum Mechanics - Fluid Dynamics and Magnetohydrodynamics
Research students: Mohammed Ali A Aiyashi, Muhamad Bin Noor Aziz, Pete Mortensen, Tahani Al Sariri, Jamie Quinn
Postgraduate opportunities: Electrophysiological modelling of hearts with diseases, Fast-slow asymptotic analysis of cardiac excitation models, Numerical simulations of planetary and stellar dynamos
Dr Peter Stewart : Senior lecturer
Member of other research groups: Continuum Mechanics - Modelling and Analysis of Material Systems, Continuum Mechanics - Fluid Dynamics and Magnetohydrodynamics
Research students: Roxanna Barry, Ahmed Mostafa Abdelhady Ismaeel
Postgraduate opportunities: Theoretical modelling of cell response to external cues, Continuous production of solid metal foams
Dr Ben Swallow : Lecturer
Bayesian statistical inference; Markov chain Monte Carlo (MCMC) methods; data integration; model selection; stochastic processes
Member of other research groups: Statistical Methodology, Environmental Statistics
Postgraduates
Tahani Al Sariri : PhD Student
Supervisors: Raimondo Penta, Radostin Simitev
Roxanna Barry : PhD Student
Supervisors: Peter Stewart, Nicholas A Hill
Muhamad Bin Noor Aziz : PhD Student
Research Topic: Efficient asymptotic-numerical methods for cardiac
electrophysiology
Supervisor: Radostin Simitev
Debao Guan : PhD Student
Supervisors: Xiaoyu Luo, Hao Gao
Parag Gupta : PhD Student
Research Topic: Mathematical modelling of infection dynamics of Animal
African trypanosomiasis, an economically important livestock
disease.
Supervisor: Christina A Cobbold
Ahmed Mostafa Abdelhady Ismaeel : PhD Student
Supervisors: Peter Stewart, Xiaoyu Luo
Mikolaj Kundegorski : PhD Student
Supervisor: Colin Torney
Mx Jay MacKenzie : PhD Student
Supervisors: Nicholas A Hill, Xiaoyu Luo
Laura Miller : PhD Student
Member of other research groups: Continuum Mechanics - Modelling and Analysis of Material Systems
Supervisors: Raimondo Penta, Nicholas A Hill
Pete Mortensen : PhD Student
Supervisor: Radostin Simitev
Ionut Paun : PhD Student
Supervisors: Colin Torney, Dirk Husmeier
Xin Zhuan : PhD Student
Research Topic: Heart tissue remodelling under stress
Member of other research groups: Continuum Mechanics - Modelling and Analysis of Material Systems
Supervisor: Xiaoyu Luo
Postgraduate opportunities
Fast-slow asymptotic analysis of cardiac excitation models (PhD)
Supervisors: Radostin Simitev
Relevant research groups: Mathematical Biology
Mathematical models of cardiac electrical excitation describe processess ocurring on a wide range of time and length scales.
Theoretical modelling of cell response to external cues (PhD)
Supervisors: Peter Stewart
Relevant research groups: Continuum Mechanics - Fluid Dynamics and Magnetohydrodynamics, Continuum Mechanics - Modelling and Analysis of Material Systems, Mathematical Biology
Cells and tissues respond to mechanotransductive and biochemical cues. These external cues interact with protein signaling pathways within the cell and can trigger changes in size, structure, binding and differentiation. This project will use theoretical modelling to examine the response of an array of cells to various external mechanical and biochemical cues, considering how these cues can be tailored to optimize a particular outcome. The model will couple the mechanical components of the cell (nucleus, cytoskeleton,…) to internal protein expression pathways (Myosin II, MLCK,…) and the properties of the external stimuli. The model will take the form of coupled differential equations which will be solved using both analytical and numerical methods.
This model will be validated against experimental data in two main ways, including examining the response of the array to small amplitude mechanical vibration (‘nanokicking’) to predict its influence on the behavior of the array over long timescales. The model will also be used to understand growth factor delivery using PODS® technology developed by Cell Guidance Systems to predict the optimal spatial arrangement of PODS® relative to the array and the resulting temporal and spatial profiles of both the growth factor and the cell growth and proliferation.
This project is part of the LifETIME Centre for Doctoral Training
https://lifetime-cdt.org/projects-2/
and involves collaboration with Prof Matt Dalby (Institute of Molecular, Cell and Systems Biology) and industrial partner Cell Guidance Systems. Applicants must apply to the CDT (details on the website) to be considered for this project.
Electrophysiological modelling of hearts with diseases (PhD)
Supervisors: Radostin Simitev, Hao Gao
Relevant research groups: Continuum Mechanics - Fluid Dynamics and Magnetohydrodynamics, Continuum Mechanics - Modelling and Analysis of Material Systems, Mathematical Biology
SofTMechMP is a new International Centre to Centre Collaboration between the SofTMech Centre for Multiscale Soft Tissue Mechanics (www.softmech.org) and two world-leading research centres, Massachusetts Institute of Technology (MIT) in the USA and Politecnico di Milano (POLIMI) in Italy, funded by the EPSRC. Its exciting programme of research will address important new mathematical challenges driven by clinical needs, such as tissue damage and healing, by developing multiscale soft tissue models that are reproducible and testable against experiments.
Heart disease has a strong negative impact on society. In the United Kingdom alone, there are about 1.5 million people living with the burden of a heart attack. In developing countries, too, heart disease is becoming an increasing problem. Unfortunately, the exact mechanisms by which heart failure occurs are poorly understood. On a more optimistic note, a revolution is underway in healthcare and medicine - numerical simulations are increasingly being used to help diagnose and treat heart disease and devise patient-specific therapies. This approach depends on three key enablers acting in accord. First, mathematical models describing the biophysical changes of biological tissue in disease must be formulated for any predictive computation to be possible at all. Second, statistical techniques for uncertainty quantification and parameter inference must be developed to link these models to patient-specific clinical measurements. Third, efficient numerical algorithms and codes need to be designed to ensure that the models can be simulated in real time so they can be used in the clinic for prediction and prevention.
The goals of this project include designing more efficient algorithms for numerical simulation of the electrical behaviour of hearts with diseases on cell, tissue and on whole-organ levels. The most accurate tools we have, at present, are so called monolithic models where the differential equations describing constituent processes are assembled in a single large system and simultaneously solved, While accurate, the monolithic approaches are expensive as a huge disparity in spatial and temporal scales between relatively slow mechanical and much faster electrical processes exists and must be resolved. However, not all electrical behaviour is fast so the project will exploit advances in cardiac asymptotics to develop a reduced kinematic description of propagating electrical signals. These reduced models will be fully coupled to the original partial-differential equations for spatio-temporal evolution of the slow nonlinear dynamic fields. This will allow significantly larger spatial and time steps to be used in monolithic numerical schemes and pave the way for clinical applications, particularly coronary perfusion post infarction. The models thus developed will be applied to specific problems of interest, including
(1) coupling among myocyte-fibroblast-collagen scar;
(2) shape analysis of scar tissue and their effects on electric signal propagation;
(3) personalized 3D heart models using human data.
The project will require and will develop knowledge of mathematical modelling, asymptotic and numerical methods for PDEs and software development and some basic knowledge of physiology. Upon completion you will be a mature researcher with broad interdisciplinary education. You will not only be prepared for an independent scientific career, but will be much sought after by both academia and industry for the rare combination of mathematical and numerical skills.
Arterial dissection (PhD)
Supervisors: Nicholas A Hill, Steven Roper, Xiaoyu Luo
Relevant research groups: Mathematical Biology, Continuum Mechanics - Modelling and Analysis of Material Systems, Continuum Mechanics - Fluid Dynamics and Magnetohydrodynamics
Location:
School of Mathematics and Statistics, University of Glasgow, Glasgow, UK,
Civil and Environmental Engineering, Politecnico di Milano.Supervisors:
Prof Nicholas HIll (lead, UofG, Mathematics),
Dr Steven Roper (UofG, Mathematics),
Prof Xiaoyu Luo (UofG, Mathematics),
Prof Anna Pandolfi (Structural Mechanics, Politecnico di Milano)
Scholarship details:
Eligibility: A three-and-a-half year, fully-funded PhD scholarship open to UK/EU applicants
Project Description:
SofTMechMP is a new International Centre to Centre Collaboration between the SofTMech Centre for Multiscale Soft Tissue Mechanics (www.softmech.org) and two world-leading research centres, Massachusetts Institute of Technology (MIT) in the USA and Politecnico di Milano (POLIMI) in Italy, funded by the EPSRC. Its exciting programme of research will address important new mathematical challenges driven by clinical needs, such as tissue damage and healing, by developing multiscale soft tissue models that are reproducible and testable against experiments.
This PhD project will focus on the application of our new theories of tissue damage to arterial dissection, using mathematical and computational modelling. Arterial dissection is a tear along the length of an artery that fills with high pressure blood and often re-enters the lumen. In the case of the aorta, this is life-threatening, as the dissection often propagates upstream and compromises the aortic valve. The objectives of the project are to predict the propagation and arrest of the dissection in patient-specific geometries, and to help to assess the benefits and risks of treatments including the placement of stents.
The student will develop expertise in multiscale hyperelastic continuum models, and in the numerical methods to solve the governing equations in physiological geometries. The student will have the opportunity to visit and work with our collaborators at MIT and POLIMI, and with our clinical and industrial partners, and will be part of a large dynamic group of researchers at the University of Glasgow.
Upon completion you will be a mature researcher with broad interdisciplinary education. You will not only be prepared for an independent scientific career, but will be much sought after by both academia and industry for the rare combination of mathematical and numerical skills.
Application will be through the University of Glasgow Postgraduate Admissions:
https://www.gla.ac.uk/postgraduate/howtoapplyforaresearchdegree/
For further information please contact:
Professor Nicholas A Hill FIMA
Executive Director - SofTMech
Senate Assessor on Court
School of Mathematics & Statistics
Tel: 0141 330 4258
Nicholas.Hill@glasgow.ac.uk
Optimisation of stent devices to treat dissected aorta (PhD)
Supervisors: Nicholas A Hill
Relevant research groups: Mathematical Biology, Continuum Mechanics - Modelling and Analysis of Material Systems, Continuum Mechanics - Fluid Dynamics and Magnetohydrodynamics
Location:
School of Mathematics and Statistics, University of Glasgow, Glasgow, UK,
Chemistry, Materials and Chemical Engineering, Politecnico di Milano,
Terumo Aortic, Newmains Ave, Inchinnan, Glasgow
Supervisors:
Prof Nicholas Hill (lead, UofG, Mathematics),
Dr Robbie Brodie (Terumo Aortic),
Dr Sean McGinty (UofG, Biomedical Engineering),
Prof Francesco Migliavacca, (Industrial Bioengineering, Politecnico di Milano)
Scholarship details:
Eligibility: A three-and-a-half year, fully-funded PhD scholarship open to UK/EU applicants
Project Description:
SofTMechMP is a new International Centre to Centre Collaboration between the SofTMech Centre for Multiscale Soft Tissue Mechanics (www.softmech.org) and two world-leading research centres, Massachusetts Institute of Technology (MIT) in the USA and Politecnico di Milano (POLIMI) in Italy, funded by the EPSRC. Its exciting programme of research will address important new mathematical challenges driven by clinical needs, such as tissue damage and healing, by developing multiscale soft tissue models that are reproducible and testable against experiments.
This PhD project will focus on the application of our new theories of tissue damage and growth and remodelling to the design of stents by Terumo Aortic to treat aortic dissection, using mathematical and computational modelling. An aortic dissection is a tear along the length of vessel that fills with high pressure blood and often re-enters the lumen. This is life-threatening, as the dissection often propagates upstream and compromises the aortic valve. The objectives of the project are to help to develop and optimise the next generation of stents by predicting their performance in patient-specific geometries, and to minimise the medium- to long-term risks due to remodelling of the arterial wall.
The student will develop expertise in multiscale hyperelastic continuum models, and in advanced numerical methods to solve the governing equations in physiological geometries. The student will have the opportunity to visit and work with our collaborators at MIT and POLIMI, and with our clinical partners, and will be part of a large dynamic group of researchers at the University of Glasgow and Terumo Aortic, a world-leading company in the design and manufacture of medical devices.
Upon completion you will be a mature researcher with broad interdisciplinary education. You will not only be prepared for an independent scientific career, but will be much sought after by both academia and industry for the rare combination of mathematical and numerical skills.
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Application will be through the University of Glasgow Postgraduate Admissions:
https://www.gla.ac.uk/postgraduate/howtoapplyforaresearchdegree/
For further information please contact:
Professor Nicholas A Hill FIMA
Executive Director - SofTMech
Senate Assessor on Court
School of Mathematics & Statistics
Tel: 0141 330 4258
Nicholas.Hill@glasgow.ac.uk
Mathematical modelling of the heart and the circulation (PhD)
Supervisors: Nicholas A Hill, Xiaoyu Luo
Relevant research groups: Mathematical Biology, Continuum Mechanics - Modelling and Analysis of Material Systems, Continuum Mechanics - Fluid Dynamics and Magnetohydrodynamics
Location:
School of Mathematics and Statistics, University of Glasgow, Glasgow, UK,
Supervisors: Xiaoyu Luo and Nick Hill
Cardiovascular disease is the leading cause of disability and death in the UK and worldwide. The British Heart Foundation (BHF) estimates it has a £19B annual economic impact.Structural impairment such as mitral regurgitation and myocardial infarction are heart diseases that, even when treated in time, can lead to diastolic heart failure with preserved ejection fraction, for which there is no recommended treatment options. Mathematical modelling of the heart can advance our understanding of heart function, and promises to support diagnosis and develop new treatments.
This PhD project will focus on developing mathematical descriptions of the whole heart and its interactions with the circulation, using a combination of one-dimensional and lumped parameter models. State-of-the-art structured-tree models will be used for systemic, pulmonary and coronary circulations. The objectives of the project are to identify how the heart functions under different pathological diseases and what treatment options may be effective. The student will develop expertise in fluid and solid mechanics modelling, as well as insights into mathematically-guided clinical translation. The project will be performed in the research environment of SofTMech (www.softmech.org) where extensive collaborations with clinicians and international research groups are forged. The student will have the opportunity to visit and work with our collaborators, including our clinical and industrial partners, and will be part of a large dynamic group of researchers at the University of Glasgow.
Upon completion you will be a mature researcher with broad interdisciplinary education. You will not only be prepared for an independent scientific career, but will be much sought after by both academia and industry for the rare combination of mathematical and numerical skills.
Application will be through the University of Glasgow Postgraduate Admissions:
https://www.gla.ac.uk/postgraduate/howtoapplyforaresearchdegree/
For further information please contact:
Professor Nicholas A Hill FIMA
Executive Director - SofTMech
Senate Assessor on Court
School of Mathematics & Statistics
Tel: 0141 330 4258
Nicholas.Hill@glasgow.ac.uk
