James Eales

James Eales is a Lecturer in Cardiovascular Computational Biology at the University of Manchester's Division of Cardiovascular Sciences. His research focuses on understanding the biological impact of genetic, transcriptomic, and epigenetic variation on human health, particularly in cardiovascular and kidney diseases. He applies multi-omics, deep learning, and data science techniques to analyze high-throughput sequencing data, aiming to identify causal disease genes and improve translational research in hypertension, coronary artery disease, and chronic kidney disease.

Education & Background:

• PhD in relevant field (details not explicitly stated)

Research Interests:

• Genetic and epigenetic mechanisms in cardiovascular diseases
• Multi-omics integration for disease biomarker discovery
• Development of computational models for prioritizing disease-associated variants
• Translational research in kidney and cardiovascular pathophysiology

Grants & Funding:

• Funded by the British Heart Foundation, Translation Manchester, and Health Innovation Manchester

Labs & Collaborations:

• Leads the Eales Lab, focusing on computational biology and kidney-cardiovascular disease interactions
• Collaborates with Prof Maciej Tomaszewski and Prof Bernard Keavney