Isabelle Tingzon

Data Science Consultant at UNICEF and The World Bank/GFDRR

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I’m Issa, a data science consultant at UNICEF, a Disaster and Climate Risk Data Fellow at the World Bank/GFDRR, a core member of Climate Change AI, and a former volunteer at Women Who Code.

My work focuses mainly on the applications of machine learning, computer vision, and Earth observation for socioeconomic development, humanitarian assistance, climate resilience, and disaster response.

News

Dec 9, 2024 Our paper, “Large-scale School Mapping using Weakly Supervised Deep Learning for Universal School Connectivity” was accepted at AAAI 2025 Special Track on AI for Social Impact (AISI)! 🎉
Nov 18, 2024 Our work, “Mapping Buildings Using Deep Learning for Climate Resilience in the Caribbean”, at the World Bank/GFDRR was 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!
Oct 15, 2024 Our 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!🏆

Latest Tutorials

Featured Publications

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    Fusing VHR Post-Disaster Aerial Imagery and LiDAR Data for Roof Classification in the Caribbean
    Isabelle Tingzon, Nuala Margaret Cowan, and Pierre Chrzanowski
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, Oct 2023
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    Interpretable poverty mapping using social media data, satellite images, and geospatial information
    Chiara Ledesma, Oshean Lee Garonita, Lorenzo Jaime Flores, and 2 more authors
    In Machine Learning for the Developing World (ML4D) NeurIPS Workshop, Oct 2020