Upcoming Events
See video from recent eventsTuesday January 28 2025 • 12:00 PM — 01:00 PM
Environmental Research Seminar: “Developmental Effects of Lead (Pb) Exposure: Alterations in Placental and Embryo Weight and Imprinted Gene Regulation”
With Bambarendage (Pini) Perera, PhD (Research Assistant Professor Environmental Health Sciences, University of Michigan)
Dr. Bambarendage P. U. Perera (Pini) is a Research Assistant Professor at the University of Michigan School of Public Health. Her research focuses on the impact of environmental exposures on gene expression and long-term health through epigenetic mechanisms, particularly genomic imprinting and non-coding RNA. Dr. Perera earned her PhD in Biological Sciences from Louisiana State University and completed postdoctoral training at the University of Michigan. She has received numerous awards, including the EMGS Young Scientist Award, and leads NIH-funded projects on the epigenetic effects of lead exposure in utero. Dr. Perera is also dedicated to mentoring students and advancing the field of environmental health sciences through teaching and professional service.
Registration: Join us online .
Sponsored by: Michigan Center on Lifestage Environmental Exposures and Disease (M-LEEaD) Integrated Health Sciences Core
Tuesday February 11 2025 • 12:00 PM — 01:00 PM
Residents & Researchers: “Resiliency Hubs: Protecting our Communities in our Changing Climate”
Registration: Join us online .
Sponsored by: Michigan Center on Lifestage Environmental Exposures and Disease (M-LEEaD) Community Engagement Core and the Integrated Health Sciences Core
Monday February 24 2025 • 01:00 PM — 03:30 PM
Environmental Statistics Day: “Mixture All Along: Statistical Methods for Estimating Complex Exposure-Response Functions”
With Howard Chang, PhD (Professor, Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University)
Save the date! Registration and additional information coming soon.
Humans are simultaneously exposed to multiple correlated chemical and non-chemical environmental risk factors. Advancements in exposure assessments and statistical tools have enabled a shift towards studying the combined health impact of multiple exposures. This presentation will describe the use of approximate Gaussian process regression and Bayesian additive regression trees (BART) to flexibly characterize exposure-response functions. These approaches aim to address the computational challenges associated with Bayesian kernel machine regression (BKMR) and some parametric assumptions associated with quantile g-computation (qcomp). We apply these methods in several population-based epidemiologic studies to estimate health effects of ambient air pollution on emergency department visits and birth weight in Georgia, as well as an extension to identify heterogeneous health effects of heat waves. We will also describe challenges and approaches in visualizing and summarizing these complex exposure-response surfaces. Finally, we will discuss some practical and methodological issues related to the analysis of multiple environmental exposures.
Sponsored by: Michigan Center on Lifestage Environmental Exposures and Disease (M-LEEaD) Integrated Health Sciences Core
