Bridget Ann Hannon
Doctoral Candidate, Graduate Research Assistant, MS
Division of Nutritional Sciences
University of Illinois Urbana-Champaign
Bridget Hannon recently completed her PhD in Nutritional Sciences at the University of Illinois with Dr. Margarita Teran-Garcia and Dr. Naiman Khan. Her doctoral research focused on identifying dietary and genetics factors associated with dyslipidemia in individuals with obesity. She has been involved in multiple clinical research trials across different research groups on campus. Additionally, she has worked collaboratively with external scholars to contribute to the field of scientific rigor and statistical methods, to improve transparency in research methodology and reporting. She also obtained her masters in Nutritional Sciences with Dr. Teran-Garcia, where she was an integral team member in the adaptation, implementation, and evaluation of the Abriendo Caminos USDA Program. Bridget also completed the Didactic Program in Dietetics, culminating in her completion of the dietetic internship in April 2020. During this time she also taught the child nutrition class to over 80 children. During her time at the University of Illinois, Bridget has served as a guest lecturer in four different departments and was responsible for the development of a hybrid internship class in the Department of Food Science and Human Nutrition, which involved students completing online learning modules, journal discussions, and hands-on experiences with the Fighting Illini varsity dietitians. Ms. Hannon has received numerous awards both through the University of Illinois and from professional societies including The Obesity Society and the American Society for Nutrition. Bridget has authored 17 peer-reviewed publications, including 11 first-author publications, on a diverse range of topics and methodologies including gene-diet interactions, diet and metabolic disease, meta-analyses, statistical methodology guides, and letters to the editor. Bridget is passionate about evidence-based research, use of correct statistical methodology, and identifying individual factors that may affect the individual’s ability to successfully manage obesity.