Dr. Jack Freestone

Instructor

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Biography

Jack Freestone is currently a Lecturer in Statistical Data Science at Macquarie University. He has completed his PhD in Statistics at the University of Sydney, focusing on data-driven multiple testing using side information for peptide detection. His research interests involve the development of multiple testing procedures for detecting signals in complex datasets, with applications to variable selection in applied sciences. Freestone actively engages in teaching a variety of statistics and mathematics courses, including Statistical Theory and Statistical Data Analysis. He is also the organizer of the Statistics Discipline Seminar Series at his institution. Freestone's academic achievements include receiving the JB Douglas Postgraduate Award for outstanding academic achievement and the University Medal. His work demonstrates a strong commitment to advancing statistical methodologies and contributing to the academic community through research and collaboration.

Research Interests

Experience

Research Associate

2024-11-01 — 2025-01-01

University of Sydney • Sydney, Australia

Conducted research in Statistical Modelling.

Awards

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JB Douglas Postgraduate Award

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Postgraduate Research Prize

#

University Medal

Courses

STAT8310 Statistical Theory STAT2371 Statistics STAT1371 Statistical Data Analysis MATH1062 Mathematics 1B

Requirements for Macquarie University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:94
PTE
Listening
Required:58
Reading
Required:58
Writing
Required:58
Speaking
Required:58
Overall
Required:65
Prerequisites
Bachelor degree from a recognised institution Minimum 3 years full-time equivalent work experience at a managerial/professional level
Application Checklist
  • Official Academic Transcripts
  • Curriculum Vitae (CV)
  • Statement of Motivation
  • Evidence of Work Experience
Specialization Notes

Applied to Department of Business (MBA Program).