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Jyoti Sehjal
BSc, MSc
DPhil student
I joined the Centre for Statistics in Medicine in 2023 to study for a DPhil in Cancer Science. My research is focused on developing prediction methods to evaluate outcomes and help improve quality of care for patients with myeloid cancers in the UK. These are types of blood cancer that originate in bone marrow. As a member of Oxford Cancer and the NIHR Blood and Transplant Research Unit in Data Driven Transfusion Practice, I am using electronic heath data to understand how disease characteristics, comorbidities, and treatment decisions affect infection, hospitalisation, and alloimmunisation rates. I also hope to analyse the effects of demographic factors such as geography, ethnicity, and socioeconomic status on access to treatment and equality of care. My project is supervised by Dr Paula Dhiman and Professor Simon Stanworth.
Previously, I worked as a Research Assistant in the Department of Medical Statistics at the London School of Hygiene and Tropical Medicine. There I was interested in using flexible survival methods to analyse the association between primary liver cancer and mortality following liver transplantation. I then spent a year working as a trial statistician at the MRC Clinical Trials Unit at UCL. I also enjoy teaching and have experience tutoring statistics to students and non-statisticians.
I completed an MSc in Medical Statistics at the London School of Hygiene and Tropical Medicine, funded by an NIHR Pre-Doctoral Fellowship, in 2021. I also hold a BSc in Mathematics from the University of Bath, where I graduated in 2017.