Lucas Potin

Trained as an engineer at INSA Rouen with a double degree in data science, I’m passionate about applying data and models to real-world challenges.

During my PhD in data mining at the Laboratoire Informatique d’Avignon, I explored the world of graph analysis and open public data, with a focus on detecting irregularities in public procurement. I developed an interpretable framework for graph classification, addressing issues of transparency and governance.

Along the way, I’ve embraced a broad range of experiences — from a corporate internship at Aubay to international research in Scotland and student supervision — which have helped me balance scientific rigor with practical thinking.

I'm now eager to contribute to concrete projects in R&D or applied data science, where I can put my expertise in graph mining, machine learning, and complex data structuring to good use.