Bio
Edward Parkinson is a 3rd year Ph.D. student in Computer Science at Cardiff University, under the supervision of Federico Liberatore, W. John Watkins and Peter Ghazal. His Ph.D. is focused on discovering an improved set of molecular biomarkers using gene expression data for the diagnosis and treatment monitoring of neonatal infants with sepsis. His work employs a wide range of statistical and machine learning approaches to biomarker discovery. He is also working with Elixir-UK as a FAIR Data Stewardship Training Fellow to develop training resources on machine learning readiness for RNA-Seq data. Edward holds a MSc in Artificial Intelligence from Cardiff University and a MChem from the University of Oxford.
Research interests
Edward is interested in the potential to integrate multiple bulk omics data modes, using deep neural networks (DNNs) to build a novel multi-omics model for neonatal sepsis, incorporating gene expression, lipidomic and psysiological clinical data. He is exploring the use of deep learning architectures such as variational autoencoders (VAEs) in multi-omics data integration.