Student
Eleanor Barry

Eleanor graduated in 2017 with an MMath from the university of Exeter, with her final year project based on evolutionary game theory. She spent one summer as part of an epidemiological project investigating the consequences of arsenic in drinking water on health at Public Health England, and another investigating improvements in the computational modelling of radiation dispersion at Public Health England and the Met Office. She is particularly looking forward to learning more about Mathematical Biology and Networks. In her spare time she enjoys archery, board games, jogging and reading historical biographies.

Eleanor graduated in 2017 with an MMath from the university of Exeter, with her final year project based on evolutionary game theory. She spent one summer as part of an epidemiological project investigating the consequences of arsenic in drinking water on health at Public Health England, and another investigating improvements in the computational modelling of radiation dispersion at Public Health England and the Met Office. She is particularly looking forward to learning more about Mathematical Biology and Networks. In her spare time she enjoys archery, board games, jogging and reading historical biographies.

Research project title:

Systemic sclerosis: including prevalent and incident cases in order to evaluate the association with pulmonary hypertension

Supervisor(s):
Anita McGrogan, Jonathan Bartlett

Project description:
Systemic sclerosis (SSc), or scleroderma, is a long-term condition that causes thickening and hardening of the skin due to a build-up of collagen. SSc can also affect internal organs such as the kidneys, heart, lungs and gastrointestinal tract. It is believed that there is a possible link between SSc and other serious health conditions, and Barry’s Ph.D. explores the association between SSc and the occurrence of serious outcomes compared to people who do not have SSc. Working with the Department of Pharmacy and Pharmacology, she is focusing on statistical techniques used to minimise errors when estimating effects of SSc on occurrence of cancer.