Bio: Miyabi is a 4th year PhD student in Statistics at UC Berkeley. Previously, she studied Applied Statistics for Social Science Research at New York University and Applied Mathematics at Waseda University, Japan.
Research: Miyabi develops and applies statistical methods to understand occurrences and impacts of environmental hazards. Currently, she studies the effect and value of environmental amenities and disamenities in property values in the U.S. Methods of analysis include causal inference, machine learning, spatial analysis, and remote sensing.
Apart from school, she enjoys drawing, crafting and listening to music in different languages.
Fields of Interest: Spatial statistics, spatial-temporal modeling, data visualization