MATHEMATICS × PHYSIOLOGY × MEDICINE
We develop mathematical models, computational methods and data-driven tools to understand how biological systems change over time—and translate that understanding into better health.
OUR VISION
Biology is dynamic. Hormones rise and fall, physiological systems adapt to challenges, and the signals we collect from people are noisy, incomplete and deeply individual.
Our group combines mathematical modelling, biomedical data science and experimental physiology to understand these dynamics and develop quantitative biomarkers, predictive models and digital tools for personalised healthcare.
WHAT WE DO
We work across scales—from molecular mechanisms and endocrine axes to continuous measurements collected from people in everyday life.
Mechanistic models of hormonal regulation, including stress, reproductive and metabolic system dynamics, endocrine rhythms, perturbation responses and disease-related changes.
Analysis of continuous, real-world measurements such as glucose, activity, sleep, temperature and hormonal signals to uncover hidden physiological dynamics.
Methods that make variability, uncertainty and identifiability explicit—so models can be useful without pretending biological systems are deterministic.
Connecting mechanistic models with high-frequency data to develop computational tools for prevention, diagnosis and management of endocrine conditions.
THE PEOPLE
We are an interdisciplinary team of mathematicians, data scientists, biomedical engineers and software developers. Our goal is to transform lives through ambitious interdisciplinary research that translates fundamental understanding of physiology into actionable clinical insights.
GROUP LEAD
UKRI Future Leaders Fellow
Senior Lecturer in Mathematical Biomedicine
Mathematical modelling of endocrine systems, wearable physiology, digital biomarkers and personalised chronotherapy.
POSTDOC
Research Associate in Mathematical Biomedicine
Uncertainty quantification, Bayesian inference, epidemiology and computational modelling of biomedical systems.
PHD STUDENT
Marie Skłodowska-Curie Actions (MSCA) PhD Fellow
Endocrine modelling, wearable data and dynamical systems approaches to human physiology.
PHD STUDENT
EPSRC Funded PhD Student · University of Birmingham
Endocrine modelling, computational data analysis, epidemiology and software development.
OPEN SCIENCE
We aim to make our publications, data, models and computational methods as reusable and accessible as possible.
PUBLICATIONS
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DATA
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CODE & MODELS
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ENGAGEMENT
Our work is shaped by conversations beyond the laboratory. Follow what the group is doing across research, conferences, collaborations, visits, funding and public engagement.
Recruitment
Rezi has joined our group as a MSCA PhD Fellow funded by a EU MSCA Endotrain Doctoral Network award.
Conference attendance
Poster presentations, discussions and new collaborations around mathematical modelling of dynamic human physiology.
Recruitment
Frankie has joined our group as a Research Associate in Mathematical Biomedicine funded by a UKRI FLF award.
Funding award
New EU MSCA Doctoral Network funding to support the development of a training network for the future leaders in digital endocrinology.
Funding award
New personal fellowship to develop a mathematical and computational framework fordigital endocrinology.
Invited talk
Scoping meeting on computation, modelling, and statistical analysis of physiological and clinical brain signals for real-time classification and prediction.
JOIN US
We are interested in people who want to work across mathematics, computation and biomedical science. Opportunities include PhD projects, postdoctoral positions, visiting researchers and interdisciplinary collaborations.
