Dr Ross ToweSenior Research Associate
I am a statistician with interests in a number of data science techniques, my research to date has focused on developing statistical methods in both an academic and industrial setting. My primary focus has been on developing extreme value methods with previous applications in hydrology and oceanography.
I am a Senior Research Associate as part of the EPSRC funded project on The Role of Digital technology in Understanding, Mitigating and Adapting to Environmental Change project. My research focuses on how data science techniques can be used to understand environmental change.
I previously was a Knowledge Transfer Partnership (KTP) Associate between the JBA Trust and the Mathematics and Statistics department at Lancaster University. The KTP project focussed on improving statistical models for flood risk assessment by accounting for issues in data availability and quality. During this post, I also provided scientific analysis for the Scientific Advisory Group of National Flood Resilience Review.
My doctoral thesis was a collaborative project between Lancaster University and Shell Global Solutions, the project focussed on developing statistical methods to predict the future extreme wave climate of the North Sea through utilising information from global climate models.
Improving statistical models for flood risk assessment
Towe, R., Tawn, J., Lamb, R., Sherlock, C., Liu, Y. 20/10/2016 In: E3S Web of Conferences. 7, 12 p.
The extremal dependence of storm severity, wind speed and surface level pressure in the northern north sea
Towe, R., Eastoe, E., Tawn, J., Jonathan, P., Fournier, N. 4/06/2013
Discussion of "Statistical Modeling of Spatial Extremes" by A. C. Davison, S. A. Padoan and M. Ribatet
Gabda, D., Towe, R., Wadsworth, J., Tawn, J. 17/08/2012 In: Statistical Science. 27, 2, p. 189-192. 4 p.
National Flood Resilience Review, Scientific Advisory Group
Contribution to the work of national or international committees and working groups