Haruko Murakami Wainwright‘s research aims to improve understanding and predictions in Earth and environmental systems through mechanistic modeling and statistical data analysis. I have been developing a Bayesian hierarchical model and other statistical methods to integrate multi-type and multiscale datasets (including point measurements, geophysical techniques, and remote sensing data) for estimating spatially heterogeneous subsurface and ecosystem properties. In parallel, I have been developing large-scale numerical models to predict future risks of environmental contamination and geological CO2 storage, and also to develop effective remediation and monitoring strategies.