Geographic Information System (GIS) Across the Biomedical Research Continuum

Date: Wednesday, October 27
Time: 11:00am – 12:00pm (lunch provided to in-person attendees)
Location: Discovery I, Room 331 (virtual option available)

Register for in-person (limited seating) at https://bit.ly/2YrXtXz 
Register for virtual attendance at https://bit.ly/2ZKC5x1

Seminar Description:
Increasingly, scientific evidence reinforces the understanding that human health problems derive from a wide array of intervening environmental circumstances that operate on diverging spatial and temporal scales. The Wilde’s exposome model addressed this “environmental health” phenomenon by emphasizing the need for a more complete environmental exposure assessment—to complement the genome, and therefore provide a comprehensive description of lifelong exposure history. In some significant ways, the core framework of the Wilde’s exposome model reinforces the growing importance of applying GIS techniques and spatial epidemiology into research activities across the biomedical research continuum.

Using the exposome model as its backdrop, this talk will discuss selected ongoing GIS-related research projects and highlight the opportunities and challenges for integrating geospatial analysis methods into the biomedical research continuum. Overall, the talk is expected to demonstrate how GIS approaches offer the opportunity to enhance the modeling of health outcomes and provide better clinical care decision support.

Speaker Info:
Dr. Abi Oluyomi is an assistant professor of medicine in the Section of Epidemiology and Population Sciences in the Department of Medicine at Baylor College of Medicine. He is an environmental health epidemiologist with research experience that cuts across multiple fields of environmental design and environmental health science, and expertise in geospatial exposure assessment and epidemiology. His research interests center on the assessment of non-chemical and chemical environmental stressors and investigating the pathways through which these stressors are related diseases and their risk factors. He serves in different research capacities at Baylor College of Medicine and nationally. At Baylor, he leads the BCM Biomedical Geospatial Analytics and Modeling Lab – a Lab that routinely provides specialist geographic information system (GIS) services to researchers across the Texas Medical Center on a wide range of health topics.