My passion is to connect machine learning, software best practices and available images in order to build useful applications for real-world challenges. In particular, my current role at Airbus is to explore unsupervised Machine Learning algorithms such as Deep Learning (DL), clustering methods and statistics
hypothesis to detect changes through time series.
My background is in Computer science. I have a MSc from the University of INSA of Lyon (France), where I specialised myself in computer science and data analytics. Then, I worked as an R&D engineer focusing on automated machine learning and natural language processing. However, I have always been attracted by space which is why I decided to join Airbus and the Φ-lab, where I am working on remote sensing images.
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