Secretary: Tessa Ross
Secretary tel: 020 7188 4219
Referrals only: email@example.com
Enquiries only: firstname.lastname@example.org
Area of expertise: cancer
Tumour group speciality: head and neck and thyroid tumours
Mary Lei undertook her undergraduate medical training at King's College London School of Medicine and Dentistry and completed specialist training in clinical oncology at Imperial College Healthcare and Guy's and St Thomas' NHS Foundation Trusts.
Mary spent two years as a research fellow in the Royal Surrey County Hospital and University of Surrey. Her research focused on image-guided intensity modulated radiotherapy (IMRT) in head and neck cancer and culminated in the award of a Medical Doctorate (MD) postgraduate degree. She was then appointed to a one year charity funded IMRT fellowship in head and neck cancer at Guy's and St Thomas' NHS Foundation Trust.
During her training, she was the Chair of the Oncology Trainee Forum, representing the interests of clinical oncology trainees across the UK at the Royal College of Radiologists. She continues to be active in developing clinical oncology training in addition to roles as an educational and clinical supervisor.
Mary has been a consultant clinical oncologist specialising in the treatment of head and neck and thyroid tumours at Guy's and St Thomas' NHS Foundation Trust since 2011. Currently, she is the lead for the clinical oncology radiotherapy research and development group and also leads research and development for the network thyroid cancer team.
Her research interests include novel therapies and predictive biomarkers in head and neck cancer. She is collaborating with colleagues in King's Health Partners on her work in this area.
Education and training
- 2000: MBBS, King's College School of Medicine and Dentistry, University of London
- 2003: MRCP, Royal College of Physicians, UK
- 2007: FRCR, Royal College of Radiologists, UK
- 2013: MD, University of Surrey.
- head and neck and thyroid tumours.
- novel systemic therapies
- novel radiotherapy technology
- predictive biomarkers of disease