معرفی
Ken Newman is a principal researcher in statistical methodology at Biomathematics and Statistics Scotland (BIOSS) and holds a teaching role within the School of Mathematics at the University of Edinburgh. He specializes in applying statistical models to ecological and environmental decision-making processes. His career spans academia and government, including former roles at the US Fisheries and Wildlife Service.
Education:
- Bachelor’s in Natural Resources
- Master’s in Forest Management
- Master’s in Statistics (Oregon State University)
- PhD in Statistics (University of Washington, 1993)
Research Interests: Focuses on statistical emulators for complex systems, including crop growth modeling (600+ input/output variables), phosphorous runoff analysis, and aphid population prediction using long-term Edinburgh climate data. Develops state-space models for environmental impact assessments, such as the Delta Smelt lifecycle model used in legal disputes over water usage.
Key Projects:
- Constructed statistical models for US environmental policy decisions
- Developed life-cycle models for endangered species management
- Pioneered statistical emulator techniques for agricultural sustainability
Collaborations: Works closely with BIOSS and interdisciplinary teams combining biology, ecology, and statistics. Active in Scotland’s environmental policy advisory circles.
