Dr. William Whiteley

Professor

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Biography

William Whiteley is a Professor of Neurology Epidemiology at the University of Edinburgh and a consultant neurologist in NHS Lothian. His work focuses on patients with transient ischemic attack (TIA), stroke, and dementia. He founded the Edinburgh Stroke Winter School, which provides clinical PhD research training programs for stroke and dementia, funded by the Stroke Association and Alzheimer's Society. With a background in epidemiology and biomarkers in stroke, he holds a Master of Science from the University of London and a Doctor of Philosophy from the University of Edinburgh. He is actively involved in research on clinical epidemiology, clinical trials, and cerebrovascular disease, leveraging 'big data' to improve health outcomes. He also leads the Stroke Data Science Catalyst and serves as the associate director of the BHF Data Science Centre. His research seeks to elucidate mechanisms for preventing disabilities caused by stroke and dementia, focusing on the contribution of vascular risk factors. Whiteley has supported numerous PhD students and fellows in gaining funding and has a track record of mentoring future researchers in this critical field.

Research Interests

Experience

Consultant Neurologist

2015-01-01 — Present

NHS Lothian • Edinburgh, Scotland

Provides expertise in neurology, focusing on TIA, stroke, and dementia management.

Professor of Neurology Epidemiology

2015-01-01 — Present

University of Edinburgh • Edinburgh, Scotland

Leads research and clinical training in the field of neurology and epidemiology.

Associate Director

2023-01-01 — Present

BHF Data Science Centre • Edinburgh, Scotland

Oversees data science initiatives related to cardiovascular health.

Requirements for University of Edinburgh

Master Program
Requirements
GPA Requirement
Required:3.25
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
Undergraduate degree in business, management, or related subject
Application Checklist
  • Academic transcripts
  • Personal statement
  • One academic reference
  • CV/Resume
Specialization Notes

Department of Marketing