Dr. Ken Newman

Associate Professor

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Biography

Dr. Ken Newman is a Reader at the School of Mathematics, University of Edinburgh, with a PhD in Statistics from the University of Washington. He has extensive experience spanning over 18 years in academia, mostly in statistical ecology and the analysis of ecological population dynamics. Newman's research focuses on state-space models, statistical sampling procedures, and Bayesian hierarchical models. He has been involved in various professional activities, including membership in the International Biometrics Society and participation in the British Irish Region committee. His academic career includes roles as a Senior Lecturer at the University of St Andrews and an Associate Professor at the University of Idaho. Notably, he has also worked in federal government and private industry, enhancing his expertise in quantitative services. His recent collaborative supervision of PhD students and participation in workshops reflects his commitment to advancing statistical ecology.

Research Interests

Experience

Reader

2018-01-01 — Present

University of Edinburgh • Edinburgh

Engaged in teaching and research in statistical ecology.

Senior Lecturer

2003-09-01 — 2006-06-30

University of St Andrews • St Andrews

Worked on ecological research and taught statistics.

Associate Professor

1993-09-01 — 2003-06-30

University of Idaho • Idaho

Conducted research and taught statistics.

Mathematical Statistician

2006-09-01 — 2017-12-31

United States Fish & Wildlife Service • United States

Involved in statistical assessments for wildlife management.

Manager, Quantitative Services

1984-02-01 — 1988-08-31

Northwest Indian Fisheries Commission • Washington State

Oversaw quantitative assessments in environmental research.

Requirements for University of Edinburgh

Master Program
Requirements
GPA Requirement
Required:3.25
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:100
Prerequisites
Undergraduate degree in business, management, or related subject
Application Checklist
  • Academic transcripts
  • Personal statement
  • One academic reference
  • CV/Resume
Specialization Notes

Department of Marketing