Dr. Merritt is a Research Fellow in Cancer Epidemiology in the Department of Epidemiology and Biostatistics, School of Public Health, Imperial College. She has gained expertise in Epidemiology, Molecular Biology and Bioinformatics. Dr. Merritt completed her doctoral training in Population Health at the Queensland Institute of Medical Research and The University of Queensland in Brisbane, Australia where she was a recipient of an Australian Postgraduate Award.
Dr. Merritt gained experience as a postdoctoral fellow in Molecular Biology at the Brigham and Women's Hospital/ Harvard Medical School, Boston, Massachusetts in the laboratory of Tan Ince where she developed an experimental model to investigate the role of the normal cell of origin in determining ovarian tumor phenotype. She was awarded a postdoctoral fellowship from the Ovarian Cancer Research Foundation and a research grant from the Gynecologic Cancer Foundation for this work. Dr. Merritt trained in the laboratory of John Quackenbush to investigate gene expression signatures of normal ovarian and fallopian tube cell origin and their potential relevance to ovarian cancer. In 2010, she was awarded a Nutritional Epidemiology of Cancer Postdoctoral Fellowship from the Harvard School of Public Health and she carried out research under the mentorship of Daniel Cramer, Kathryn Terry (OB/GYN Epidemiology Center) and Shelley Tworoger (Channing Laboratory) at the Brigham and Women’s Hospital to conduct research focused on dietary and genetic risk factors for ovarian cancer in the New England based case-control study of ovarian cancer and the Nurses' Health Study.
In her current role at Imperial College, Dr. Merritt's research focuses on dietary, reproductive and metabolic risk factors for ovarian and endometrial cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) under the mentorship of Marc Gunter and Elio Riboli.
et al., Nutrient-wide association study of 57 foods/nutrients and epithelial ovarian cancer in the EPIC study and the NLCS, American Journal of Clinical Nutrition, ISSN:1938-3207
et al., 2016, A treelet transform analysis to relate nutrient patterns to the risk of hormonal receptor-defined breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC), Public Health Nutrition, Vol:19, ISSN:1368-9800, Pages:242-254
et al., 2016, An epidemiological model for prediction of endometrial cancer risk in Europe, European Journal of Epidemiology, Vol:31, ISSN:0393-2990, Pages:51-60
et al., 2016, Insulin/IGF and sex hormone axes in human endometrium and associations with endometrial cancer risk factors, Cancer Causes & Control, Vol:27, ISSN:0957-5243, Pages:737-748
et al., 2016, Nutrient-wide association study of 57 foods/nutrients and epithelial ovarian cancer in the European Prospective Investigation into Cancer and Nutrition study and the Netherlands Cohort Study, American Journal of Clinical Nutrition, Vol:103, ISSN:0002-9165, Pages:161-167