November 01, 2021

Congratulations to the October 2021 Catalyst Grant Recipients of the President’s Research Excellence (PRE) Program

 

Infectious Disease Institute members Mark Weir, Jiyoung Lee, Kara Morgan, Vicki Wysocki, and Matt Sullivan were recipients of this most recent round of funding, which focuses on Catalyst proposals—supporting cross- and interdisciplinary teams to pursue large-scale, high-impact research that addresses emerging or existing challenges of national and international societal importance. In addition, these grants of up to $200,000 are intended for research that has the potential to generate long-term, sustained, and significant impact, and positions Ohio State as the leader in the proposed area. 

 

IDI Member Recipients: 

CRANEES - Convergent Research for the Advancement of National Environmental Equity & Security

Lead PI: Mark Weir, College of Public Health
Co-investigators: Karen Patricia Williams, College of Nursing; Kareem Usher, College of Engineering; Jiyoung Lee, College of Public Health; Kara Morgan, College of Food, Agricultural, and Environmental Sciences

Research Topical Area: Food, nutrition, metabolism, behavior and health
Project description: CRANEES will generate the fundamental and applied data to make drinking water quality equity achievable in the United States. Using field data with community-informed sampling plans, we will develop a community-focused decision-making framework, which will be the foundation of a NIEHS P30 proposal in year 2.

 

A New Paradigm in Foods for Health at Ohio State: Multi-Omics Integration in the Era of Precision Nutrition

Lead PI: Steven Clinton, College of Medicine
Co-investigators: Devin Peterson, College of Food, Agricultural, and Environmental Sciences; Vicki Wysocki and Matthew Sullivan, College of Arts and Sciences; Martha Belury and Jiangjiang Zhu, College of Education and Human Ecology

Research Topical Area: Food, nutrition, metabolism, behavior and health
Project description: We will use a multi-omic approach with advanced data analytics and machine learning to integrate across the food-nutrition-microbiome-health continuum

 

 

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