Funded

SAFETI: Strategic Analysis for Fine-granular Injury and Fatality PrEvenTion Insight

Mentored graduate and undergraduate researchers on data analysis and modeling, and designed and implemented deep learning models to predict occupational injuries and fatalities.

Mapping Information Ecology: Understanding the Fragmentation of Disability Service Information

I co-authored the grant proposal, developed an LLM-assisted framework to analyze large-scale survey data on disability information sources, and implemented computational network analysis to map information fragmentation."

Exploring How Convergence Methods Foster Shared Accountability to Reveal, Map, and Mitigate the Sources and Dynamics of Bias across Social Service Provisioning Systems

Contributed as a graduate research assistant to data analysis.

AI for AI: Toward Community-level Human-AI Collaborations in Local Meetups

Applied data analytics and machine learning techniques to model local group gathering dynamics and predict group activity and event participation.

Making Information Deserts Visible: Computational Models, Disparities in Civic Technology Use, and Urban Decision Making

Conducted analytical research on residents’ reporting behavior and led the web visualization system development team under the guidance of Dr. Myeong Lee.