Dr. Celine Valant

Associate Professor

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Biography

Celine Valant is an Associate Professor (Research) at Monash University, specializing in Drug Discovery Biology at the Monash Institute of Pharmaceutical Sciences. Her research is focused on GPCRs (G protein-coupled receptors) and allosteric modulation, with significant contributions to understanding muscarinic receptor systems and neurocognitive processes. Valant has been actively involved in multiple research projects aimed at exploring therapeutic avenues for conditions such as schizophrenia and gut motility disorders. She has a prolific publication record, with numerous outputs across various years, showcasing her commitment to advancing knowledge in her field. Valant is also recognized for her contributions to academic conferences, having served as an invited speaker and peer reviewer for prestigious journals. She holds an ORCID ID and has been awarded several accolades, including the Denis Wade Johnson & Johnson New Investigator Award in 2012. Valant is committed to research that aligns with the United Nations Sustainable Development Goals, particularly in scientific endeavors that address critical health challenges.

Research Interests

Experience

Associate Professor (Research)

2023-01-01 — Present

Monash University • Melbourne

Leading research in drug discovery and development, focusing on GPCR modulation.

Awards

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Denis Wade Johnson & Johnson New Investigator Award

2012-12-01
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Citation Award

2015-06-30

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.