Hayden Chu
I’m a graduating student in the Master of Urban Spatial Analytics (MUSA) program at the University of Pennsylvania, where I’ve focused on applying statistics, geospatial analysis, and data science to issues in health equity, urban development, and public policy. My work explores how structural factors, such as neighborhood disadvantage, healthcare access, and environmental risks shape outcomes across space and population groups.
Before coming to Penn, I earned an MSc in Applied Statistics and Datamining from the University of St Andrews in Scotland and a BA in Policy Science from Ritsumeikan University in Japan. Across my academic and professional experiences, I’ve used methods like Difference-in-Differences, spatial econometrics, and time series modeling to evaluate public interventions and inform more equitable policy design.
After graduation, I plan to continue working in research and policy before pursuing a PhD in economics, statistics, or a related field. I'm excited to keep contributing to work that brings together data, policy, and justice.
Before coming to Penn, I earned an MSc in Applied Statistics and Datamining from the University of St Andrews in Scotland and a BA in Policy Science from Ritsumeikan University in Japan. Across my academic and professional experiences, I’ve used methods like Difference-in-Differences, spatial econometrics, and time series modeling to evaluate public interventions and inform more equitable policy design.
After graduation, I plan to continue working in research and policy before pursuing a PhD in economics, statistics, or a related field. I'm excited to keep contributing to work that brings together data, policy, and justice.
