Dr. Greg Tesch

Associate Professor

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Biography

Greg Tesch is an Associate Professor at Monash University, specializing in the mechanisms of inflammation and fibrosis related to kidney and heart injury in patients with diabetes and hypertension. His research predominantly focuses on the roles of macrophages, tubular cells, and fibroblasts in progressive tissue injury. Utilizing a range of experimental techniques, Tesch examines molecular processes involved in diseases, employing conditional gene deletion, pharmacological blockage, and innovative combination therapies. His groundbreaking work has contributed to clinical trials using chemokine receptor inhibitors targeting diabetic kidney disease and showcases his collaborations with researchers across various institutions and commercial enterprises. Tesch is also committed to advancing research opportunities for PhD candidates and post-doctoral scientists, actively mentoring students in his laboratory, which currently hosts several PhD candidates engaged in studying novel mechanisms of inflammation and fibrosis associated with kidney disease. His expertise aligns with the UN Sustainable Development Goals, specifically in addressing chronic kidney disease and other diabetic complications.

Research Interests

Experience

Associate Professor

2000-01-01 — Present

Monash University • Melbourne, VIC, Australia

Research and teaching in the field of medicine, focusing on inflammation and fibrosis in kidney disease.

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.