Speaker:

Jessie Buckley, PhD, MPH

Johns Hopkins Bloomberg School of Public Health

ECHO Data Analysis Center (DAC)

Speaker Bio:  Jessie Buckley is an environmental and pediatric/perinatal epidemiologist, working on research to inform environmental policies targeted at improving children’s health. Her work looks at developmental origins of health and disease framework and focuses on determining effects of early life exposure to endocrine disrupting chemicals on child physical growth and development. Using molecular epidemiology and advanced statistical approaches, she has conducted several studies evaluating the role of environmental chemical exposures in the development of childhood obesity. She has also researched the utility of biomarkers of exposure to several classes of environmental chemicals that have widespread human exposure, including phthalates.

Topic:  Interest in understanding the combined effects of multiple exposures (i.e., mixtures) on children’s health is rapidly increasing, with a related proliferation of methods for estimating these effects. In this talk, Jessie will demonstrate two useful approaches for estimating mixtures effects – Bayesian kernel machine regression and quantile g-computation – with an application to endocrine disrupting chemical mixtures and childhood bone health. In addition, Jessie will introduce a novel statistical framework to advance solution-oriented mixtures research in ECHO by more directly informing practices, programs, and policies to improve children’s health.

Date: Wednesday, June 10, 1 to 2pm