PhD Candidate
Icahn School of Medicine at Mount Sinai
Jersey City, New Jersey, United States
Hannah is a Registered Dietitian, ACSM-Certified Exercise Physiologist, and currently enrolled in the Artificial Intelligence and Emerging Medical Technologies Ph.D. program through the Icahn School of Medicine at Mount Sinai. Her research interests are at the intersection of nutrition, genetics, and machine learning. Integrating her nutrition and exercise physiology background into the framework of precision medicine, her dissertation utilizes unsupervised learning to identify data-driven phenotypes of dietary intake and exercise patterns and model their association with cardiometabolic disease. The goal of her work is to develop personalized primary prevention strategies by taking an individuals’ genetics, inherent physiology, and environment into consideration when prescribing diet and/or exercise.
Hannah has a B.S. in Integrative Neuroscience from Binghamton University, an M.S. in Nutrition and Exercise Physiology from Teachers College, Columbia University, and completed her dietetic internship at The Ohio State University. Prior to enrolling in the Ph.D. program, she worked as a research dietitian for the Charles Bronfman Institute for Personalized Medicine where she performed in vivo metabolic deep phenotyping to assess body composition, defects in functional substrate selectivity, and whole-body metabolism and their role in type 2 diabetes and obesity.
Energy and Macronutrient Metabolism (Oral 34)
Tuesday, July 2, 2024
10:00 AM – 11:30 AM CT
Disclosure(s): No relevant financial relationship(s) with ineligible companies to disclose.