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25 Christopher Street London EC2A 2BS

Edoardo Nemni headshot

Edoardo Nemni

Lead Geospatial Data Scientist

Edoardo Nemni's interests

  • Artificial intelligence

  • Data science

  • Machine learning

  • Mathematics

Edoardo Nemni is a Data Scientist whose work focuses on computer vision using deep learning with earth observation data for humanitarian and environmental applications.

Before joining BeZero, Edoardo worked on artificial intelligence applications for Humanitarian Assistance and Disaster Response as Data Scientist at the United Nations Satellite Centre (UNOSAT), based at CERN. He led the development and deployment of machine learning models applied to satellite imagery for disaster response, including flood analysis, shelter mapping, building footprint identification, and damage assessment. Additionally, he designed operational analysis pipelines to speed up decision-making processes that deliver support in emergency response.

Selected publications

2022, Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes

2022, Dual-Tasks Siamese Transformer Framework for Building Damage Assessment

2020, Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery

Education

  • Technical University of Denmark, MSc in Mathematical Modelling and Computation

Research associations

  • Data Scientist at the United Nations Satellite Centre (UNOSAT)

  • Machine Learning Faculty at Frontier Development Lab funded by the NASA Science Mission Directorate (SMD)

Learn more about Edoardo's academic history and publications

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