research

This project studies short-form digital media as an evolving ecosystem shaped by mutation, selection pressure, adaptation, competition, and cultural drift.

• Models how media formats and trends evolve over time.
• Connects computational social science, media studies, complex systems, and AI-driven temporal forecasting.
• Explores how algorithmic visibility can shape cultural survival and behavioral drift.

CAFE / CredibleControls focuses on climate adaptation planning, forest-risk forecasting, and counterfactual reasoning for environmental decision systems.

• Uses spatiotemporal modeling across climate, infrastructure, and environmental signals.
• Studies ecological counterfactuals for conservation and carbon-credit analysis.
• Explores vulnerability-aware planning workflows for adaptation under uncertainty.

This work explored computer vision methods for recognizing sign language gestures and translating them into interpretable text, with a focus on practical communication accessibility.