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Space/Time Geostatistics in Exposure, Disease, and Risk Mapping

Everyday we face risks from exposure to harmful contaminants that can lead to disease or degradation of our environment. People try their best to monitor harmful contaminants and diseases, so that as a whole we are as healthy as possible. Naturally, we cannot always know the source and the extent of the problems every where across space and time, so we need models to help us understand this.

My research training, from a PhD at the University of North Carolina at Chapel Hill and as the Kravis Postdoctoral Fellow with Environmental Defense Fund and The University of Texas at Austin, is fundamentally grounded in spatial and statistical modeling of exposure, disease, and risk. My focus is on developing exposure maps using advanced statistical and analytical techniques and  investigating the effects of air and water quality on public
health. These maps help us understand how complex processes like air quality, water quality, and disease vary across space and time. Ultimately, the work helps guide policy towards better protection of human health.

Link to recent International Journal of Epidemiology Letter to the Editor highlighting my research and the need for further research on radon and stomach cancer.