As a Data Manager within the Ludwig Institute I act as a link between data collection within the NHS and data usage for research within the University. I particularly work with the clinical teams involved in oesophageal and gastric cancer care, and with Ludwig-based researchers who have an interest in these tumour types.
My role involves designing and developing databases, extracting and analysing data from patient health records, and providing researchers with pertinent information about a patient’s cancer treatment to aid the interpretation of analyses carried out on donated blood and tumour samples.
Before working at Ludwig I spent four and a half years as a Data Manager in the Nuffield Department of Obstetrics and Gynaecology, where I coordinated all aspects of data collection, entry and quality control for the INTERBIO-21st Study and the INTERGROWTH-21st Project across 12 research sites around the world.
I hold a BSc in Statistics (First Class Honours) from the University of Bath and have also previously worked in the Statistical Enquiries Service for NHS Blood and Transplant, and as an Information Analyst for psychology services at the Maudsley Hospital in South London.
Impact on postoperative complications of changes in skeletal muscle mass during neoadjuvant chemotherapy for gastro-oesophageal cancer.
den Boer RB. et al, (2020), BJS open
Achieving accurate estimates of fetal gestational age and personalised predictions of fetal growth based on data from an international prospective cohort study: a population-based machine learning study.
Fung R. et al, (2020), The Lancet. Digital health, 2, e368 - e375
International standards for fetal brain structures based on serial ultrasound measurements from the Fetal Growth Longitudinal Study of the INTERGROWTH-21st Project.
Napolitano R. et al, (2020), Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
Image‐scoring system for umbilical and uterine artery pulsed‐wave Doppler ultrasound measurement
Molloholli M. et al, (2019), Ultrasound in Obstetrics & Gynecology, 53, 251 - 255
Deep clinical and biological phenotyping of the preterm birth and small for gestational age syndromes: The INTERBIO-21st Newborn Case-Control Study protocol
Kennedy SH. et al, (2018), Gates Open Research, 2, 49 - 49