Dr. Sam Forster

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Biography

Sam leads the Microbiota Systems Biology Laboratory at Hudson Institute of Medical Research. His team’s work combines microbiology, immunology, and computational analysis to understand the functional role of community dynamics within the human microbiota concerning health and disease. Understanding how microbiota are acquired and the forces that cause their change provides important insights into how we get sick and maintain health. His research seeks to understand the relationship between the immune system and microbiota communities in susceptibility to diseases, focusing on the analysis of diversity through host cellular transcriptional responses using in-vitro and in-vivo models. He employs wide-scale metagenomic sequence-based analysis to understand microbiota community structure and utilizes computational modeling and machine learning-based approaches to understand microbiota community dynamics concerning health and dysbiosis. Ultimately, his work seeks to provide novel bacteriotherapies and identify therapeutic interventions to improve human health.

Research Interests

Experience

Associate Professor (Research)

2019-01-01 — Present

Hudson Institute • Melbourne, Australia

Leads Microbiota Systems Biology Laboratory. Focuses on understanding the functional role of microbiota in health and disease through microbiology, immunology, and computational analysis.

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.