Dr. Hugh Langley

Assistant Professor

Build a Statement of Purpose

Generate a tailored SOP for Dr. Hugh Langley. Improve your application with a focused, well-structured draft.

Biography

Dr. Hugh Langley is an Assistant Professor in the Department of Oncology at Queen's University. He holds roles as the Aboriginal Cancer Lead and Regional Primary Care Lead for the Southeast Regional Cancer Program, as well as a Senior Medical Advisor at the Ministry of Health Long-Term Care. His clinical interests center on cancer prevention, screening, and survivorship care, indicating a strong commitment to enhancing public health and cancer care delivery within communities. In addition to his clinical work, Dr. Langley is engaged in educational activities that focus on primary care knowledge translation and the development of treatment guidelines for cancer investigation. His research interests encompass the examination of diagnostic delays in cancer care, assessing the effectiveness of Diagnostic Assessment Programs, and exploring patient-provider knowledge satisfaction in the context of cancer survivorship care. Through his multifaceted roles and research endeavors, Dr. Langley contributes significantly to improving cancer care and outcomes.

Research Interests

Experience

Assistant Professor

— Present

Queen's University • Kingston, Ontario, Canada

Assistant Professor in the Department of Oncology with responsibilities in various clinical and educational roles.

Requirements for Queen's University

Master Program
Requirements
GPA Requirement
Required:3.3
TOEFL
Listening
Required:20
Reading
Required:22
Writing
Required:24
Speaking
Required:22
Total
Required:88
IELTS
Overall
Required:7
Prerequisites
Honours Bachelor degree Background in Computing, Mathematics, Statistics, or Engineering
Application Checklist
  • Online application
  • Statement of Research Interest
  • Curriculum Vitae
  • Two academic references
  • Transcripts
Specialization Notes

Department of Computing offers research-based, project-based, and course-based patterns.