Ph.D. Researcher in Flood Informatics, GeoAI & Disaster Risk Communication
Leveraging deep learning, remote sensing, and fine-scale spatial analytics to understand environmental vulnerabilities, human-flood interactions, and extreme hazard resilience.
Specialized in integrating spatial data science, machine learning algorithms, and hydro-meteorological data to bridge physical hazard models with socio-demographic resilience dynamics.
Empirical disaster risk evaluations, remote sensing pipelines, and fine-scale spatial computing.
Evaluating official flood forecast accuracy and inundation benchmarks against real-world hurricane observations to improve emergency warning frameworks.
Modeling dynamic transit accessibility and network disruptions to critical healthcare facilities under seasonal and flash flood scenarios.
Synthesizing multi-source spatial raster datasets for urban environmental quality tracking and fine particulate exposure predictions.
Comprehensive analytical poster detailing methodologies, machine learning training pipelines, and parcel-scale risk indicators.
Presenting empirical findings and chairing sessions at leading geographic and informatics conferences.
Active peer reviewer contributing to high-impact international journals in geosciences, urban computing, and disaster risk.
Interested in research collaborations, spatial modeling consultancies, or academic inquiries?
