I am a research assistant and part of the Computational Oncology group at Imperial College, based jointly between the Dept. of Computing and Division of Surgery & Cancer.
I am working on several projects, mainly looking at routinely collected data on radiotherapy nationwide and various outcomes (i.e. survival after first line of palliative radiotherapy, Patient Reported Outcome Measures (PROMs)). I am also a support to other clinical projects and trials involving Patient and Public Involvment (PPI) work.
I have an interest in big data in healthcare, statistics, coding, machine learning and novel techniques developed to have a better understanding of large cohort of patients with multiple events during their anti-cancer treatments.
et al., 2021, Estimating the risk of death from COVID-19 in adult cancer patients, Clinical Oncology, Vol:33, ISSN:0936-6555, Pages:e172-e79
et al., 2021, BRAINWEAR: LONGITUDINAL, OBJECTIVE ASSESSMENT OF PHYSICAL ACTIVITY IN 42 HGG PATIENTS, OXFORD UNIV PRESS INC, Pages:13-13, ISSN:1522-8517
et al., 2021, GLIOCOVA: DEFINING PATIENT SAFETY EVENTS FOR BRAIN TUMOUR PATIENTS UNDERGOING NEUROSURGERY, OXFORD UNIV PRESS INC, Pages:16-16, ISSN:1522-8517
et al., 2021, EXPLORING END-OF-LIFE CARE IN THE GLIOCOVA NATIONAL BRAIN TUMOUR PATIENT COHORT, OXFORD UNIV PRESS INC, Pages:43-43, ISSN:1522-8517
et al., 2021, PATIENT AND PUBLIC INVOLVEMENT TO DEFINE PATIENT-CENTRED OUTCOMES FROM NATIONAL CANCER DATASETS, OXFORD UNIV PRESS INC, Pages:41-41, ISSN:1522-8517