Nina Nesterova

Developed and applied probabilistic climate-risk models linking climate change, natural hazards and infrastructure exposure, translating geospatial analyses into decision-relevant risk intelligence for climate adaptation. Led validation and quality assurance of AI-derived geospatial hazard datasets, evaluating model reliability, uncertainty and operational suitability for downstream climate-risk applications. Worked with international partners in Germany and the USA on large-scale geospatial hazard datasets

Designed and led a multi-year research program investigating climate-driven permafrost hazards and their implications for infrastructure risk, integrating satellite imagery, historical imagery, UAV observations and large geospatial datasets. Developed reproducible Python- and GIS-based analytical workflows for analyzing hazard occurrence, climate drivers and spatial exposure patterns across large Arctic regions transferrable to other regions. Built and maintained international research collaborations (Germa

• Collaborated with local government and indigenous communities to coordinate logistics and align data collection objectives. • Conducted five Arctic field expeditions, collecting and processing geospatial and UAV data for environmental monitoring under challenging field conditions. • Contributed to multi-institutional research outputs and mentored undergraduate students in environmental data processing.

Data fusion of historical remote sensing imagery for long-term change detection of permafrost thaw in the Arctic