Presented on 'AI for Climate Action in Developing Countries: Opportunities, Challenges and Risks' at The World Bank Land Conference 2025 on May 8, 2025
Presented work at The World Bank and UNICEF Giga on 'Bridging Data Gaps in the Global South: Harnessing Geospatial Data for Climate Resilience and Universal Connectivity' at the Building Data Together: Building-related Open Microdata Technical Workshop by the OECD Laboratory for Geospatial Analysis held in Paris, France, on January 24, 2025
Paper 'Large-scale School Mapping using Weakly Supervised Deep Learning for Universal School Connectivity' accepted at AAAI 2025 Special Track on AI for Social Impact (AISI)
Work 'Mapping Buildings Using Deep Learning for Climate Resilience in the Caribbean' at the World Bank/GFDRR highlighted as a Case Study in the UNFCCC Technology Executive Committee Information Note on Artificial Intelligence for Climate Action in Developing Countries: Opportunities, Challenges and Risks launched at COP29
Work 'Advancing Universal School Connectivity through AI-enabled School Mapping' at UNICEF Giga won the IEEE Connecting the Unconnected (CTU) Challenge for Best Innovative Technology Application at the CTU Summit 2024 in Dubai
Background
Data Science Consultant, focusing on the applications of machine learning, computer vision, and Earth observation for socioeconomic development, humanitarian assistance, climate resilience, and disaster response.