New advances in technologies available for more precise capture of nutrition and eating coupled with continuous developments in methods for computational data analysis increasingly reveal significant individual differences in metabolic function and in physiological response to nutrition. In accordance with this increasing evidence, the National Institute of Health has initiated a new program in precision nutrition. The broad objective of this program is to promote research on understanding factors that influence individual variability in response to nutrition, and to establish scientific foundations for the design of precision nutrition interventions – interventions that provide more precise nutritional recommendations tailored to individuals’ physiology, environment, and lifestyle.
This workshop, organized by the DSI Health Analytics Center, will explore new opportunities to advance research in computational data analysis that could support the vision of precision nutrition. The workshop will include short talks by invited speakers followed by the general discussion of new research directions on the intersection of precision nutrition and data science, machine learning, and AI.
The panelists and their short bios are included below:
David J Albers, Ph.D.
David Albers is an Adjunct Assistant Professor in the Department of Biomedical Informatics (and Associate Professor at the University of Colorado at Anschutz Medical Campus). Dr. Albers has a background in mathematics and physics. His areas of interest include nonlinear time-series analysis, learning theory, and statistical physics in combination with biomedical informatics and physiology.
Dympna Gallagher, Ed.D.
Dr. Gallagher is a Professor of Nutritional Medicine at CUIMC, a Co-Director of the New York Nutrition Obesity Center’s P30 and Director of the Human Body Composition Laboratories at CUIMC. Her research focuses on energetics and body composition in pediatrics and adults and in healthy and disease states.
Itsik Pe’er, Ph.D.
Dr. Pe’er is an Associate professor at the Department of Computer Science and Fu Foundation School of Engineering & Applied Science at Columbia University. He studies, develops and applies novel computational methods in human genetics.
Michael Rosenbaum, Ph.D.
Dr. Rosenbaum is a Professor of Pediatrics and Medicine at Columbia University Irving Medical Center. His research focuses on deep phenotyping of systems of body weight regulation and the effects of dietary macronutrient content on these systems.
