Mayeul Godinot
Data Analyst
Mayeul Godinot's interests
Energy Efficiency
Renewable Energy
Energy Efficient Devices
Transport
Ocean-Based Carbon Removals
Afforestation, Reforestation & Restoration
Avoided Deforestation
Hydro
Solar, Wind
Artificial intelligence
Computer science
Data science
Earth observation
Geoinformatics
GIS
LiDAR
Machine learning
Remote sensing
Satellite imagery
Mayeul Godinot is a Ratings Data Analyst with expertise in analysing environmental risk and developing earth science observation models using AI. His dissertation led to the creation of a novel method for detecting, characterising and tracking the evolution of cracks in the sea-ice along the coasts of Canada.
Before joining BeZero, he completed an MSc from Imperial College in Environmental Data Science and Machine Learning as well as a BEng in Engineering from King's College.
Education
Imperial College London, MSc Environmental Data Science & Machine Learning
King's College London, BEng General Engineering
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