Intelligent Data Ecosystems
Jess is a member of the applied statistics team, which provides statistical support to staff and students via consultancy, data analysis, design of experiments and the teaching of statistics courses. She is interested in applying statistical techniques to get the most from data and also in finding ways to apply her knowledge of medical statistics (for example, survival analysis) to agricultural experiments and data. Jess has worked as a consultant statistician at Rothamsted Research since 2015. Her experience includes statistical design and analysis for various field, glasshouse and lab experiments. She also has two and a half years’ experience as a medical statistician working in clinical trials, which have provided her with experience of data quality control and analysis of clinical trial data. Jess has recently been involved in several pieces of work that use tools, such as R Markdown and Shiny, to automate repetitive but time consuming tasks (for example, quality control, data manipulation, simple exploratory analyses). She is interested in exploring these tools further, and in finding more work they can be applied to within the institute.
- 2012 - Master of Statistics with Medical Applications, University of Sheffield
- 2011 - Bachelor of Mathematics, Operational Research, Statistics and Economics, University of Warwick