Katie has just submitted her PhD thesis titled “Muscle energetics and ageing in the context of RYR1 variants” at the University of Leeds and is awaiting her viva !

A large part of her PhD work focused on analysing whole human genome Affymetrix array data to determine a predictive risk score for musculoskeletal disorders as well as defining panels of genes implicated in muscle ageing. Working with such a large data set prompted Katie to consider further work using big data. Katie is now employed as an intern with the Leeds Institute of Data Analytics (LIDA) and work with our lab on transcriptome data from amazonian frog eyes. Katie aims to understand differential gene expression between nocturnal and diurnal species.

Research interests include but are not limited to:

– Data Analytics and Big Data
– Using whole genome/transcriptome data to understand fundamental biology
– Human ageing, with particular focus on muscle ageing
– Muscle mechanics and energetics