Research Assistant

The petitioner proposes to continue research on sensing technologies within smart cities to provide insights into urban space usage. The work focuses on developing non-intrusive data collection methods that respect privacy while supporting the creation of equitable transit-oriented communities. These methods are designed to help city planners optimize public spaces and transportation networks through real-time data.

The petitioner proposes to develop computationally efficient, matrix-free methods for analyzing big spatial datasets to enhance predictive models and analytical tools. This work aims to facilitate advanced technology development in environmental science, sports, public health, and medicine by overcoming limitations in current spatial statistics methods.

The petitioner proposes to continue his research in urban and population policy, focusing on data-driven solutions for public health crises, transportation inequities, and social segregation. He utilizes cutting-edge techniques such as policy evaluation, statistical modeling, and data science to inform real-world policy strategies. His work aims to improve the quality of life in diverse communities by analyzing travel patterns, mobility health outcomes, and the impact of health emergencies like the COVID-19 pandemic.

The petitioner proposes to continue his research in applied economics, specifically using spatial econometric techniques to investigate how government subsidies and infrastructure investments create spillover effects across regional economies. His work focuses on mapping how policies targeted at specific areas impact employment, productivity, and housing markets in surrounding regions to inform urban planning and regional revitalization.