Valerie has operational responsibility for the strategic delivery of CanTest’s objectives, in partnership with the Exeter Programme Manager. She has overall responsibility for CanTest finances, Faculty and the annual International School for Cancer Detection Research in Primary Care – working closely with the Director in Cambridge, Fiona Walter. In addition, she works on Patient and Public Involvement (PPI) with the PPI lead.
Prior to CanTest, Valerie worked as a technology consultant, initially at Sagentia Ltd and subsequently via her own company. This work was varied in nature but the common theme was medical technology innovation. Many of the projects focussed on next generation medical devices, developed to meet the needs of the end users.
Valerie is a physicist by background and has carried out research in non-invasive diagnostic technologies. Her PhD research focussed on optical measurement of the oxygenation of the blood in the retina. She later worked with a company making MRI equipment for clinical, research and industrial applications
+44 (0)1223 762554
University of Cambridge
Project management, medical technology, non-invasive diagnostics, physics
- CanTest Social Network Analysis
- Target Product Profiles for Early Cancer Diagnostics
- Diagnostic performance of biomarkers for bladder cancer suitable for primary care: a systematic review
- Establishing which modalities of artificial intelligence machine learning (AI/ML) for early detection and diagnosis of cancer are ready for implementation in primary care in the NHS: a Systematic Review
- de Groot E, Vermond D, Sills VA, Mol SSL, Walter FM, Rubin G, DE Wit NJ. Factors determining development of researchers within a research network on cancer diagnosis in primary care (CanTest): An interview study. BMJ Open 2022;12:e046321. doi: 10.1136/bmjopen-2020-046321
- Vermond D, de Groot E, Sills VA, Lyratzopoulos G, Walter FM, de Wit NJ, Rubin G. The evolution and co-evolution of a primary care cancer research network: From academic social connection to research collaboration. PLoS ONE 17(7): e0272255 2022. doi: 10.1371/journal.pone.0272255