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Genomic Medicine;
Characterisation of zebrafish models for bone fragility and genetic skeletal disorders;
Functional characterisation of rare paediatric neurodevelopmental disorders.

Translational application of Molecular Biology to Urological Malignancies

Mathematical biology, morphogenesis, tissue dynamics

Research interests: Mathematics for programming: verification and semantics, Probabilistic programming, Compositional modelling, Machine learning, Trustworthy AI, Linear Logic and Modal Logic.

My research expertise is in machine learning, computational biology, bioinformatics, and AI. I teach several modules (e.g., databases, programming, AI & ML) in BSc and MSc Data Science courses.

Research interests: Multimodal AI: Foundation models, generative AI, domain adaptation, brain and cardiac imaging, and cancer diagnosis and treatment

Development of quantitative imaging biomarkers and applications in clinical practice, drug development and discovery science.

Primary clinical area: Pulmonary vascular Disease

Main research areas Optimising diagnostic, prognostic and treatment response assessments with a focus on image post processing with machine learning

I specialise in quantitative and AI methods for research evaluation and social media analysis.

Research interests: Computational modelling in biology and medicine, Electrical Impedance Spectroscopy (EIS)

Photochemistry, photophysics, time-resolved spectroscopy, luminescence, light-induced electron transfer in chemical and biological systems, solar energy conversion, ultrafast excited state dynamics.

Health & social media
Digital health
Sociology of health & illness
Genetics
Race & ancestry
Science & technology in society/STS
Digital methods
Tissue donation & biobanking

Matt's research is in the politics of urban air pollution governance with Sheffield Air.