Nicole Augustin

Nicole Augustin is a Reader (equivalent to Associate Professor) in Mathematical Sciences at the School of Mathematics, University of Edinburgh. Her work bridges statistical methodology and environmental applications, with a strong focus on spatial statistics, generalized additive models, and inference under confounding. She is actively involved in interdisciplinary research addressing climate change impacts on forest health and sustainable management.

Her research interests include:

• Spatial and environmental statistics
• Model selection and inferential methods
• Generalized additive models and nonlinear covariate effects
• Forest health and defoliation under climate change
• Biostatistics and public health data analysis

The recent publications reflect a dual focus: advancing statistical methodology (e.g., Spatial+ for confounding correction) and applying these methods to critical environmental and health issues such as forest damage in Germany and physical activity mortality risk in the UK Biobank. This demonstrates a commitment to both theoretical innovation and real-world impact.

Nicole Augustin serves as Principal Investigator on an active research project funded by Space Intelligence Ltd, titled "Using satellite data to improve mapping of stem density and forest carbon for sustainable forest management" (2023–2026), highlighting her leadership in data-driven environmental science. She also contributes to statistical education, advocating for consultancy-style dissertations in data science training.