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JHU Exposome Collaborative Launch Event

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The Exposome Collaborative at Johns Hopkins University Launch Event

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Friday, November 8, 2019

Noon - 5pm

Department of Environmental Health and Engineering Johns Hopkins Bloomberg School of Public Health Baltimore, Maryland

The establishment of the JHU Exposome Collaborative (https://ehe.jhu.edu/research/the-exposome-collaborative) brings together the different disciplines within the Department of Environmental Health and Engineering.

The goals of the Exposome Collaborative are: 1) to characterize the cumulative imprint of environmental influences and associated biological responses throughout the life course, including exposures from the environment, diet, behavior, socioeconomic factors, and endogenous processes; 2) to develop novel tools, integrated analyses, and statistical modeling for exposome assessment. This integrative approach requires a range of techniques and expertise from a variety of fields and increases collaboration between researchers across disciplinary boundaries.

Seed funding provided through the generous donation of Whiting School of Engineering alumni Yu Wu (MS ’89, PhD ’96) and Chaomei Chen (MS ’88) to the Department of Environmental Health and Engineering

Launch Event sponsored by the Center for Alternatives to Animal Testing (CAAT)

Program:

Becton Dickinson Hall (W1020)

• 12:00PM-1:00PM Grand Rounds Speaker (Stephen Rappaport, PhD)

Gallery

• 1:00PM-2:15PM Lunch Reception (open to all attendees)

Becton Dickinson Hall (W1020)

• 2:30PM-2:45PM Opening Remarks

• 2:45PM-3:00PM Introduction to JHU Exposome Collaborative

• 3:00PM-3:25PM Exposome Pilot Project & Data Presentation

• 3:25PM-4:10PM Speaker: Denis Sarigiannis, MS, PhD

• 4:10PM-4:55PM Speaker: Gary Miller, MS, PhD

• 4:55PM-5:00PM Concluding Remarks

Gallery

• 5:00PM-6:00PM Reception

More info at: https://ehe.jhu.edu/research/the-exposome-collaborative/index.html

This event will be online accessible through zoom:

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Meeting ID: 543 363 456

Password: 018663

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Meeting ID: 543 363 456

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