Jeronee Jennycloss
CDT student
Jeronee's interest in epidemiology and statistics stems from her undergraduate degree in Biology from Manchester Metropolitan University. To further her interest in applying statistics to working with health data, Jeronee also completed a master's degree in Health Data Science at the University of Manchester.
She then took a year-long position as a research assistant at the Centre for Epidemiology Versus Arthritis at the University of Manchester. There, Jeronee worked on a CLUSTER Consortium project where she created a common research data model for Juvenile Idiopathic Arthritis and uveitis using consensus from patients, parents, carers, and professionals.
Jeronee was the first author on an accepted abstract that enabled her to present the research at a NIHR/Versus Arthritis Paediatric Rheumatology Research Day in June 2023, as well as at internal research group meetings and the Consortium's industry group meeting.
Similarly, she was the first author on an accepted abstract for the Paediatric Rheumatology European Society Congress and its associated Young Investigators Meeting in late September 2023, for work on analysing the incidence and characteristics of uveitis in children and young people with arthritis in the Childhood Arthritis Prospective Cohort Study.
Jeronee is particularly interested in expanding her statistical toolkit, especially exploring the applications of machine learning to health data in this CDT. She also looks forward to sharing the outputs of her future DPhil research in easy-to-understand formats for different audiences.