Dr. Andrew Clulow

Assistant Professor

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Biography

Andrew Clulow is an Adjunct Lecturer and ARC DECRA Fellow at the Monash Institute of Pharmaceutical Sciences (MIPS). His research interests focus on milk lipids, lipid digestion, and milk-based formulations, particularly in the context of infant nutrition and drug delivery systems. He has a strong background in utilizing techniques such as small angle X-ray scattering for structural analysis of materials. Before joining ANSTO as a beamline scientist for the BioSAXS facility, he led a team at MIPS concentrating on the digestion of lipids and their applications in drug delivery vehicles. His work encompasses the synthesis and characterization of diverse materials for applications in sensors, solar cells, OLED displays, and bioelectronic devices. Clulow has contributed to several collaborative projects on the interfacial structural changes in milk-like systems and engineered drug nanocrystals. He is actively involved in academic committees and has received multiple awards for his research contributions.

Research Interests

Experience

Adjunct Lecturer

2016-06-01 — Present

Monash Institute of Pharmaceutical Sciences • Melbourne, Australia

Lecturing and conducting research on pharmaceutical sciences, focusing on lipid digestion and drug delivery systems.

Awards

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New Investigator Research Award

2019-11-25
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Research Impact Award

2018-10-01
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Student Speaker Award

2011-12-01
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Trailblazer Award

2009-06-01
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Postdoctoral Travel Award

2015-07-01

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.