Position | Associate Professor (Teaching) |
Phone (external) | +44(0)20 3108 3249 |
Phone (internal) | 53249 |
Email (@ucl.ac.uk) | elinor.jones |
Themes | Biostatistics, General Theory and Methodology |
Biographical Details

Elinor graduated in Mathematics and Statistics from the University of Warwick before completing a PhD in Probability Theory at the University of Manchester. Her thesis examined the large deviations of random walks and Lévy processes. Prior to joining UCL, Elinor worked as a Research Associate in Genetic Epidemiology at the University of Leicester and as a Statistician at the Univeristy of Reading.
Research Interests
Inferring causality from observational epidemiological data, federated analysis of data when data cannot be pooled, statistics education.
Selected publications
- Grindle N, Jones EM and Northrop P (2020). Harder things will stretch you further': helping first-year undergraduate students meaningfully engage with recent research papers in probability and statistics. Teaching Mathematics and its Applications, https://doi.org/10.1093/teamat/hraa001.
- Thompson, J. R., Minelli, C., Bowden, J., Del Greco, F. M., Gill, D., Jones, E. M., . . . Sheehan, N. A. (2017). Mendelian randomization incorporating uncertainty about pleiotropy. Statistics in Medicine, 36(29), 4627-4645.
- Jones EM, Sheehan NA, Gaye A, LaFlamme P and Burton P (2013). Combined analysis of correlated data when data cannot be pooled. Stat, 2(1), 72-85.
- Jones EM, Thompson JT, Didelez V and Sheehan NA (2012). On the choice of parameterisation and priors for the Bayesian analyses of Mendelian randomisation studies. Statistics in Medicine, 31(14), 1483-1501.
- Doney RA and Jones EM (2012). Conditioned random walks and Lévy processes. Journal of the London Mathematical Society, 44, 139-150.