Dr. Belinda Henry

Associate Professor

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Biography

Belinda Henry is an Associate Professor at Monash University, leading research in metabolic neuroendocrinology with a focus on understanding body weight regulation. Her work primarily examines energy expenditure in mammals, particularly through the lens of thermogenesis, the specialized process where the body expends energy as heat. She aims to elucidate how the brain regulates thermogenesis and its implications for body weight and food intake control. As head of a distinct metabolic neuroendocrinology laboratory, she investigates the impacts of energy homeostasis on weight control, including gender differences influenced by sex steroids and stress hormone levels. Over the years, Henry has led numerous projects related to these themes, including research on cold receptor agonists and their potential for weight loss without adverse cardiovascular effects. Her work significantly contributes to the understanding of obesity and thermogenesis, making her a key figure in the field of metabolic research.

Research Interests

Experience

Associate Professor

2013-01-01 — Present

Monash University • Clayton, Australia

Leading research efforts in metabolic neuroendocrinology focusing on body weight regulation.

Awards

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Dean's Award for Excellence in Education - Innovation in Learning and Teaching

2023-10-01
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Vice-Chancellor's Excellence Award for Innovation in Learning and Teaching

2023-11-01

Requirements for Monash University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:12
Reading
Required:13
Writing
Required:21
Speaking
Required:18
Total
Required:79
Prerequisites
Bachelor degree (or equivalent) in a related field
Application Checklist
  • Academic Transcripts
  • Proof of English Proficiency
  • Curriculum Vitae
  • Copy of Passport
Specialization Notes

Requirements are standardized across the Faculty of Information Technology for most Master's programs including Computer Science and Data Science.