Dr. Kelly Walton

Instructor

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Biography

Kelly Walton earned her PhD in 2008 from Swinburne University. She is an Adjunct Lecturer at Monash University and co-heads the Growth Factor Therapeutics Laboratory in the Department of Physiology. Her research primarily focuses on transforming growth factor ‐β (TGF‐β) biology, which plays a pivotal role in regulating cell growth, chronic diseases, cancers, and infertility. Initial findings from her research defined the assembly of TGF‐β proteins in humans, enabling the development of specific TGF‐β based therapeutics. Walton's work also explores the physiological consequences of inhibin activity, a crucial factor in mammalian reproduction that negatively regulates the production of follicle stimulating hormone (FSH). Additionally, she is pioneering the development of inhibin mimetics for treatment of bone disease and investigating activin signalling as a target for muscle wasting disorders, which are prevalent in advanced cancer patients. Through her research, she aims to address the metabolic challenges associated with cancer and develop innovative therapeutic strategies to improve patient outcomes.

Research Interests

Experience

Adjunct Lecturer

2016-01-01 — Present

Monash University • Melbourne, VIC, Australia

Co-head of the Growth Factor Therapeutics Laboratory.

Awards

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Newcastle Emerging Leadership Award

2017-08-29
#

Career Enhancement Award

2013-01-01

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.