Dr. Luca Fiorenza

Associate Professor

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Biography

Luca Fiorenza is an Associate Professor at Monash University, leading the Palaeodiet Research Lab, where his research primarily focuses on the functional morphology of the masticatory apparatus in both human and non-human primates, emphasizing the role of diet in human evolution. He has published extensively in high-impact, peer-reviewed journals such as Nature, Current Biology, and the Journal of Human Evolution, with significant contributions to the fields of anthropology and functional morphology. With a strong track record in securing competitive research funding exceeding AUD 3.1 million, including multiple ARC Discovery Projects, he is recognized as one of Australia's top researchers in anthropology. His expertise aligns with the UN Sustainable Development Goals, contributing to research addressing climate change and ecological adaptation. Through his extensive experience, Fiorenza has organized numerous research-intensive workshops on cranio-dental functional morphology and digital anatomy, and he also serves as an Adjunct Senior Lecturer at the University of New England in Australia.

Research Interests

Experience

Associate Professor

2015-01-01 — Present

Monash University • Melbourne

Leading research initiatives and supervising postgraduate students at the Department of Anthropology.

Awards

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Australia's Top Researcher

2020-01-01
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Australia's Top Researcher

2025-01-01
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Outstanding Achievement

2019-01-01

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.