Multimodel modelling of the UK Biobank’s imaging, genetic and behavioural data (Dr. Francesca Raimondi, Dr. Reza Khorshidi and Prof Kazem Rahimi)
Multimodel modelling of the UK Biobank’s imaging, genetic and behavioural data
DESCRIPTION OF PROJECT
A DPhil student is sought to join the Oxford Martin programme on Deep Medicine to apply machine learning techniques to the unique dataset of the UK Biobank. The goal is to improve the prevention, diagnosis and treatment of a wide range of serious and life-threatening diseases. UK biobank has been following the health trajectory of 500,000 volunteer participants for many years, through a great variety of medical information, including general medical measurements, activity monitoring, online questionnaires, genotype as well as full body scans. This is an extraordinary opportunity to fully investigate the complex relationships between heterogeneous medical variables and the patient’s health status. The main challenge will be to jointly exploit all these multimodal sources of information, using existing machine learning algorithms and developing new ones. The key advantage of this project lies in the multidisciplinary environment of the Deep Medicine programme and the George Institute for Global Health (Oxford), involving people from very complementary backgrounds, from physicians and epidemiologists to machine learning scientists and statisticians.
This project would be suitable a candidate with strong quantitative background (e.g. mathematics, informatics or statistics) and interest in applied research methods that are likely to have a major impact on population health. This project will be part of a new interdisciplinary programme entitled ‘Deep Medicine’ at the George Institute for Global Health. The research team provides expert individual supervision and support from several of experienced and enthusiastic researchers with backgrounds in clinical medicine, statistics, epidemiology, computer science and informatics. Further support in grant writing, high-impact scientific publications and career development will be provided.
As well as the specific training detailed above, students will have access to a wide-range of seminars and training opportunities through the many research institutes and centres based in Oxford.