My research focuses on development of causal inference methods in complex observational studies. Specific areas include methods for causal inference with confounding, remote sensing, and spatial analysis. The projects are motivated by problems with potential for positive social and environmental impacts. Current areas of focus are on occurrences and impacts of environmental hazards.

I am a PhD student in Statistics at UC Berkeley, and a fellow in the Global Policy Lab.

Outside of research, I enjoy drawing and finding new music in different languages.

Email: miyabi_ishihara at berkeley dot edu Twitter: @MiyabiIshihara