Dr Kieran Zucker
- Position: Clinical Research Fellow and Honorary Clinical Oncology Specialist Registrar
- Areas of expertise: Oncology; Machine Learning; Deep Learning; Routinely Collected Data; Electronic Health Records; Big Data; Statistical Computing; Survival Analysis; Predictive Modelling; Comorbidity
- Email: K.Zucker@leeds.ac.uk
- Location: 11.80 Worsley Building
Dr Zucker completed his BSc in Molecular medicine at University College London (UCL) in 2009 undertaking research in mRNA expression of Flavin Containing Monooxygenase knockout mice. He continued at UCL to complete his undergraduate medical degree in 2012. During his time at UCL Dr Zucker worked as a research associate at the Centre for Evidence at Transplantation based at the Royal College of Surgeons conducting research into the rate of publication of randomised controlled trials in transplant medicine. He also undertook a Society for General Microbiology Studentship characterising the enzymatic properties of a previously unstudied bacteria implicated in cases of endocarditis.
Dr Zucker undertook his Foundation Training and Core Medical training in the Yorkshire region before being promoted early to the role of clinical oncology specialist registrar in 2016. During this time he was involved in a number of clinical research projects and had regular input in the management of patients enrolled in clinical trials. Dr Zucker took up his role as Clinical Research Fellow based at the Leeds Institute for Data Analytics in 2017 where he works on a number of projects including cancer outcome prediction, computer vision and process mining. Dr Zucker is also a Fellow of the Faculty of Clinical Informatics where he has co-founded the Early Career Group. He also sits on the Faculty’s Artificial Intelligence Specialist Interest Group and the Education and Training Subcommittee.
- LIDA Data Science Intern Supervisor
- Masters Student Supervisor
- Clinical Researcher
Dr Zucker heads up the comorbidity and late effects workstream of the Macmillan funded Comprehensive Patient Records Project. This work aims to identify how pre-existing health conditions impact on outcomes in the 20 most common cancer and how cancer and its treatment impacts the long term health of patients. The research focusses on the analysis of large volumes of routinely collected health data including a linked dataset combining both primary and secondary care data. Dr Zucker has a particular interest in artificial intelligence methods and uses both traditional statistical approaches and machine learning in analytical approaches.
Dr Zucker also provides support to a range of other interdisciplinary projects across the university. Projects include image analytics for automated reporting of cardiac MRI, process mining healthcare data, the development of interactive clinical outcomes dashboards, BRCA and breast cancer outcomes and health geography projects.
- BSc (Hons)
- Member of the Royal College of Physicians
- Fellow of the Faculty of Clinical Infromatics
Dr Zucker is involved in a range of educational activities across the university. He has been involved in the teaching of undergraduate medicals students since 2012 and has provided both formal and informal teaching in clinical medicine. His work with undergraduate medical students now predominantly focusses on Oncology related teaching. Dr Zucker also acts as a masters student supervisor and LIDA data science intern supervisor.
Research groups and institutes
- Leeds Institute of Medical Research at St James's