
Research Area VI - Biological Systems
Research Area VI covers the broad areas of biological clocks, gene therapy, embryogenesis, organogenesis, innate immunity, immune responses, inflammation, disease processes, ageing, cancer, plants, molecular medicine, neurodegeneration, parasitology, plant pathology, nutrition, cell division differentiation and death, cardiovascular disease, developmental biology, diabetes, matrix structure and tissue engineering.
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Research Area VI - Biological Systems
8 members

Irundika Dias
Irundika Dias


Clare Thompson
Clare Thompson


Fred Arce Vargas
Fred Arce Vargas


Hannah Fox Dugdale
Hannah Fox Dugdale
Hannah completed a PhD at Liverpool John Moores University where she investigated the effectiveness of the polyphenol resveratrol in preventing muscle atrophy within an in vitro model of caloric restriction. On completion of her PhD in 2017, Hannah undertook a post-doctoral position at the University of Oxford. This work was in collaboration with Summit therapeutics with the aim to elucidate novel regulatory pathways understanding the mechanistic action of potential drug candidates designed to modulate utrophin in the hopes of mitigating the pathology in Duchenne muscular dystrophy. Hannah then moved to Kings College London in 2019 where she worked with Dr Julien Ochala utilising single muscle fibre techniques to examine physiological dysfunction and associated causes of congenital myopathies. Hannah took up a role as Lecturer in the area of molecular and cellular physiology in the School of Sport, Exercise and Health Sciences in 2022, where she focuses on skeletal muscle regenerative rehabilitation
Keywords: Skeletal muscle, muscle disease, regenerative rehabilitation

Steven Kelly
Steven Kelly


Ayse Latif
Ayse Latif


Chris Morris
Chris Morris

Chris Morris is a Lead Data Scientist. He received an MA in Mathematics from the Queen's College, Oxford. He has worked as a computer programmer and data scientist, and for twenty years most of his clients have been life scientists. He now focusses on natural language processing for drug discovery.
Keywords: Machine Learning, Drug Discovery, Pathophysiology, Natural Language Processing

Vanja Pekovic-Vaughan
Vanja Pekovic-Vaughan
