Dr. van Veldhoven is a postdoctoral Research Associate in Environmental Epidemiology at the Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London.
She completed her PhD entitled "Exposure to endocrine disrupting chemicals and other hormone related variables, DNA methylation and breast cancer" at the same department in October 2014.
Her main research interests are environmental exposures such as endocrine disrupting chemicals, water contaminants and air pollution in relation to omics and other biomarkers of exposure and disease. The results of her work aim to provide insight in the potential mechanisms by which exposures influence the risk of adverse health effects.
Dr. van Veldhoven works on three studies within the European Commisson funded EXPOsOMICS project: PISCINA II, Oxford Street and TAPAS, where she is the leader of two working groups. Her work involves analyzing metabolomic data and writing scientific papers for publication and coordinating and overseeing the other omics analyses. The overall aim is to use omic techniques in order to link exposure data to biochemical and molecular changes in our body, according to the meet-in-the-middle paradigm.
et al., 2015, Life-course socioeconomic status and DNA methylation of genes regulating inflammation, International Journal of Epidemiology, Vol:44, ISSN:0300-5771, Pages:1320-1330
et al., 2015, Biological embedding of early-life exposures and disease risk in humans: a role for DNA methylation, European Journal of Clinical Investigation, Vol:45, ISSN:0014-2972, Pages:303-332
et al., 2013, Advancing the application of omics-based biomarkers in environmental epidemiology, Environmental and Molecular Mutagenesis, Vol:54, ISSN:0893-6692, Pages:461-467
et al., 2011, Physical activity and lymphoid neoplasms in the European Prospective Investigation into Cancer and nutrition (EPIC), European Journal of Cancer, Vol:47, ISSN:0959-8049, Pages:748-760
et al., 2015, Epigenome-wide association study reveals decreased average methylation levels years before breast cancer diagnosis, Clinical Epigenetics, Vol:7, ISSN:1868-7083