Dr. James Eales

Assistant Professor

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Biography

James Eales is a Lecturer in Cardiovascular Computational Biology at the University of Manchester. His research focuses on the biological impact of genetic, transcriptomic, and epigenetic variation on human health, utilizing high-throughput sequencing technologies. Eales employs experimental approaches in the fields of multi-omics and artificial intelligence data science to address research questions pertinent to understanding biological disease mechanisms. His special interests include translational research in cardiovascular medicine, particularly in hypertension and coronary artery disease, as well as nephrology, where he studies chronic kidney disease and renal histopathology informed by genomics and transcriptomics. His current projects involve the application of artificial neural networks to elucidate disease mechanisms related to regulatory DNA sequences and to develop biomedical diagnostic applications. He has authored 25 peer-reviewed publications in high-impact journals such as Nature Genetics and the European Heart Journal, and has a citation count exceeding 2,000 with an H-index of 23. Eales collaborates with multiple research groups and informs teaching within the field. He is accepting PhD students in his lab, focusing on innovative methodologies related to cardiovascular disease and genomic studies.

Research Interests

Courses

PhD Opportunities

Requirements for University of Manchester

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Bachelor's degree in a relevant engineering or science subject Strong background in mathematics and physics
Application Checklist
  • Academic transcripts
  • Two academic references
  • Personal statement
  • CV/Resume
  • English language proficiency certificate
Specialization Notes

Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.