Dr. Michael Stewart

Associate Professor

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Biography

Michael Stewart is an Associate Professor at the University of Sydney, affiliated with the Statistics Research Group. His research focuses on Mixture Models, Extremes, Stochastic Processes, Empirical Process Approximations, Density Estimation, Feature Selection, and Applied Computational Statistics. His work aligns with several Faculty of Science research strengths, including Understanding the Universe, Fundamental Laws of Nature, Complex Systems, Precision Digital Health, Data Decisions, and National Security. Michael's contributions to the field are underscored by multiple research projects and grants targeting the application of statistical methods in varied contexts.

Research Interests

Mixture Models Extremes Stochastic Processes Empirical Process Approximations Density Estimation Feature Selection Applied Computational Statistics

Experience

Associate Professor

2010-01-01 — Present

University of Sydney • Sydney, Australia

Teaching and conducting research in statistics, specifically focusing on advanced statistical methods and their applications.

Requirements for University of Sydney

Doctorate Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:17
Reading
Required:17
Writing
Required:19
Speaking
Required:17
Total
Required:85
PTE
Listening
Required:54
Reading
Required:54
Writing
Required:54
Speaking
Required:54
Overall
Required:61
Prerequisites
A master's degree with a research component or a bachelor's degree with first or second-class honours. Demonstrated research experience and capability.
Application Checklist
  • Academic transcripts
  • Curriculum Vitae (CV)
  • Research proposal (1000+ words)
  • Two academic referee reports
  • Evidence of residency status
  • Written statement of support from potential supervisor
Specialization Notes

This entry applies to Faculty of Science PhD programs including Departments such as Life and Environmental Sciences, Physics, Chemistry, and Mathematics and Statistics.