Dean's Seminar Series: Jennifer Emond, PhD
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The School of Public Health and Health Sciences welcomes Jennifer Emond, Associate Professor in Biomedical Data Science and Pediatrics at the Geisel School of Medicine at Dartmouth College, for a special talk in the Spring 2025 Dean's Seminar Series. Dr. Emond will deliver a talk titled "Understanding Child Eating Behaviors During the Preschool Years: A Focus on Food Marketing Exposure, Genetics, and Parental Feeding Practices" on Tuesday, April 8th, from 12:30-1:30 pm in 250 Goessmann.
About Jennifer Emond:
Dr. Jennifer Emond is an Associate Professor in Biomedical Data Science and Pediatrics at the Geisel School of Medicine at Dartmouth College. She received her undergraduate degree from the University of Massachusetts Amherst in epidemiology, a master’s of science in statistics from the University of Massachusetts Lowell, and a doctorate in public health (health behavior) from the University of California, San Diego. Her research program over the past 10 years has focused on factors that influence health behaviors among young children including eating behaviors, physical activity, sleep, and media use. Her research program has specifically examined the influence of child-directed food marketing on child’s dietary intake, compliance with self-regulatory guidelines among companies marketing food to children, and measuring obesogenic eating behaviors among young children. More recent work has examined the utility of accelerometry for physical activity among infants and toddlers. She completed a K01 award granted by the NIDDK and is currently mPI of an R01 awarded by the NIDDK that enrolls preschool-age children into a 2.5 year longitudinal study to examine the prospective, bidirectional associations between parental feeding practices and child appetitive traits while considering children’s genetic risk for obesity. Dr. Emond is also the inaugural Assistant Dean of the Health Sciences Master’s Programs at Geisel where she oversees master’s programs in health data science, epidemiology, and medical informatics.