Dr. Mathias Hansen

Assistant Professor

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Biography

Dr. Mathias Hansen is a postdoctoral researcher at the Monash Biomedicine Discovery Institute, specializing in structural computational biology. He completed his BSc and MSc at the University of Copenhagen, where he studied RNA-protein interactions. He earned his PhD from Monash University in 2021, under the supervision of Professor Max Cryle, focusing on enzymes that build complex antibiotics, including teicoplanin. Dr. Hansen's research interests center on understanding enzyme structure-function relationships through the application of computational methods in enzyme engineering. His work investigates how enzyme functions evolve, providing insights that guide the design of enzymes with novel functions. Employing ancestral sequence reconstruction, he explores the evolutionary pathways of biosynthetic enzymes, particularly those involved in natural product biosynthesis. His structural biology studies zero in on biosynthetic enzymes such as cytochrome P450s and non-ribosomal peptide synthetases, using X-ray crystallography to reveal the molecular mechanisms of substrate recognition and catalysis. Dr. Hansen is particularly interested in utilizing modern computational tools and machine learning approaches to tackle challenges in enzyme engineering, focusing on the development of biocatalysts for sustainable chemistry applications.

Research Interests

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.