Isabelle Tingzon

I’m Issa, a Doctoral Researcher at RISE Research Institutes of Sweden and a PhD Student at KTH Royal Institute of Technology under Prof. Yifang Ban and Dr. Aleksis Pirinen. Previously, I was a a Data Science Consultant at UNICEF and a Disaster & Climate Risk Data Fellow at The World Bank/GFDRR. I’m also a core member of Climate Change AI, and a 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

Jan 21, 2026	I presented our tutorials on Building Delineation and Rooftop Classification at the conference on “Anticipating the Crisis: Building Resilience for Communities in the Face of a Changing Climate” hosted by Direct Relief at The National Autonomous University of Mexico (UNAM) in Mexico City
Oct 16, 2025	I presented our work on the D-FCV Scan in a talk called “Integrating Multi‑Hazard and Conflict Exposure Information for Disaster Risk Management in FCV Settings” at the World Conference on Humanitarian Studies 2025 Session on “Disaster Risk Reduction in Fragile, Conflict-Affected, and Vulnerable (FCV) Contexts: Strategies for Protracted Crises”.
Sep 25, 2025	I presented on Harnessing AI and Earth Observation Data for Climate Resilience and Universal Connectivity at the UNESCO Chair Webinar Series on Disaster Risk Reduction and Resilience Engineering hosted by UCL.

Latest Tutorials

Aug 18, 2023	Rooftop Classification from Drone Imagery for DRR (Part 2/2)
Aug 8, 2023	Building Footprint Delineation for Disaster Risk Reduction and Response (Part 1/2)
Jul 8, 2023	Automating Crop Field Delineation using Python GIS (Part 2/2)

Featured Publications

Large-Scale School Mapping Using Weakly Supervised Deep Learning for Universal School Connectivity

Isabelle Tingzon, Utku Can Ozturk, and Ivan Dotu

Proceedings of the AAAI Conference on Artificial Intelligence, Apr 2025

PDF Code

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

Bib PDF Code

@inproceedings{Tingzon_2023_ICCV,
  author = {Tingzon, Isabelle and Cowan, Nuala Margaret and Chrzanowski, Pierre},
  title = {Fusing VHR Post-Disaster Aerial Imagery and LiDAR Data for Roof Classification in the Caribbean},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
  month = oct,
  year = {2023},
  pages = {3740-3747},
}

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

arXiv Bib Slides

@inproceedings{ledesma2020interpretable,
  title = {Interpretable poverty mapping using social media data, satellite images, and geospatial information},
  author = {Ledesma, Chiara and Garonita, Oshean Lee and Flores, Lorenzo Jaime and Tingzon, Isabelle and Dalisay, Danielle},
  booktitle = {Machine Learning for the Developing World (ML4D) NeurIPS Workshop},
  year = {2020},
}