PhD student in statistics
Natalie J. Engmann, MSc, PhD(c) - Doctoral Candidate, Department of Epidemiology & Biostatistics, NRSA Fellow, National Cancer Institute
Title: Breast Density, Body Mass Index, and Breast Cancer Risk: Implications for Clinical and Public Health Settings
Summary: Breast density and obesity are two of the most common risk factors for breast cancer among U.S. women and are increasingly used for clinical breast cancer risk stratification. However, the importance of these risk factors and their combined effects on breast cancer incidence in individuals and populations is relatively unknown. Natalie’s dissertation uses novel measures of breast density to evaluate the independent and joint effects of breast density and obesity on breast cancer, providing insights into the public health impact and clinical relevance of these two risk factors for breast cancer.
Sandrine Dudoit, PhD, Professor of Biostatistics
Division of Biostatistics and Department of Statistics, UC Berkeley
The integration of genetic data into increasing numbers of social and health survey presents new opportunities for exploring the interplay between an individual’s biology and thei