Dr. Cyntia Taveneau

Assistant Professor

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Biography

Cyntia Taveneau is a Research Fellow at the Knott Lab of Monash University’s Biomedicine Discovery Institute, focusing on protein design within the AI Protein Design Program (AIPDP). With a significant history in the architecture and function of macromolecular assemblies, she possesses particular expertise in cryo-electron microscopy (cryo-EM). Her research encompasses structural biology and protein engineering, with a current emphasis on the rational design of anti-CRISPR proteins through AI-guided techniques. Cyntia completed her PhD at Université Paris-Saclay and the French National Centre for Scientific Research (CNRS), where she characterized the PI4KIIIα lipid kinase complex. Following her PhD, she held a postdoctoral position at the Institut Curie, examining the molecular organization of septin filaments and cytoskeletal GTPases involved in membrane remodeling through biophysical methods like cryo-electron tomography. Relocating to Melbourne in 2019, she joined Monash University to contribute to structural studies of biological assemblies in native cellular contexts, dedicating her efforts to the investigations of microbial immune systems and novel CRISPR-Cas defense systems, while also driving the design and validation of engineered proteins utilizing AI tools such as RFdiffusion and BindCraft.

Research Interests

Experience

Research Fellow

2019-01-01 — Present

Monash University • Melbourne, VIC, Australia

Leading protein design efforts within the AI Protein Design Program (AIPDP) at the Knott Lab.

Postdoctoral Researcher

2015-11-01 — 2019-01-31

Institut Curie • France

Investigating molecular organization of septin filaments and cytoskeletal GTPases using biophysical techniques.

Teaching Assistant

2016-01-01 — 2019-01-01

Université de Versailles Saint-Quentin-en-Yvelines • Versailles, France

Assisted in teaching Functional Genomics.

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.