Loma Linda University

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Fayth Miles, PhD
Assistant Professor, School of Public Health
School of Public Health
Assistant Professor, Preventive Medicine
School of Medicine

My training and education have placed me at the interface of molecular biology and epidemiology. My dissertation research involved characterizing TGF-beta expression and signaling during the progression of prostate cancer and involvement in tumor-stromal interactions associated with neuroendocrine differentiation.  Subsequently as a postdoc, I developed expertise in nutritional and molecular epidemiology, particularly in relation to cancer risk. I have previously conducted research examining the role of dietary and lifestyle exposures (red and processed meat, dietary added or concentrated sugars, vitamin D) and genetic polymorphisms on risk and/or survival of prostate, head and neck, and lung cancers. Additionally, I have done research in metabolomics and proteomics in investigations of mechanisms whereby dietary bioactives are associated with cancer prevention.  As an investigator in the Loma Linda University School of Public Health with a secondary appointment in the School of Medicine, I am utilizing my prior experience in epidemiology and biology, conducting research in the area of molecular epidemiology, examining the interplay of lifestyle factors with alterations in biomarkers in the Adventist Health Study-2 cohort.  My research seeks to identify biomarkers that differ according to diet pattern, and elucidate underlying mechanisms linking diet to disease. My current interest is in identifying metabolic profiles defining different diet patterns, and establishing the role of race.  My research includes a particular focus on the African American sub-cohort. I am enthusiastic about interdisciplinary research spanning the fields of molecular biology, epidemiology, nutrition and bioinformatics, and my goal is to use biomedical big data to understand the roles of genes, metabolites and networks of these molecules in cancer and other diseases. This research has much relevance to the design of effective interventions for cancer prevention.