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Ken Newman is a Reader in the School of Mathematics at the University of Edinburgh, specializing in statistical ecology and population dynamics. With a PhD in Statistics from the University of Washington, he has a comprehensive educational background that includes two Master's degrees from Oregon State University and a Bachelor's degree from Ohio State University. His research interests focus on state-space models, Bayesian hierarchical models, and statistical sampling procedures, contributing significantly to the field through teaching and supervision of PhD students. He has extensive experience in academia with over 18 years dedicated to higher education, including roles as a Senior Lecturer at the University of St Andrews and as an Associate Professor at the University of Idaho. Prior to his academic career, Ken worked as a Mathematical Statistician for the United States Fish and Wildlife Service and in private industry. He is actively involved in professional organizations such as the International Biometrics Society and has made notable contributions through workshop participation and academic committees. His work reflects a strong commitment to advancing statistical methodologies in ecological research.
University of Edinburgh, School of Mathematics • Edinburgh, Scotland
Conducting research and teaching in applied statistics and ecological modeling.
University of St Andrews • St Andrews, Scotland
Led courses in statistical ecology and supervised postgraduate research.
University of Idaho, Division Statistics • Idaho, USA
Taught statistics and supervised graduate students.
United States Fish & Wildlife Service • USA
Employed in various statistical capacities within wildlife management.
Northwest Indian Fisheries Commission • Washington State, USA
Managed statistical analyses and data services for fisheries management.
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