Matthieu Perrinel, PhD

Matthieu was previously a data scientist in Deepomatic, where he worked on the efficient building of similarity datasets, and designed deep learning based models to predict the similarity between objects. Before joining Deepomatic, Matthieu earned his Ph.D. in Computer Science at ENS Lyon, under Patrick Baillot. During his thesis, he created type systems for lambda-calculus corresponding to polynomial time. When he does not talk about french food, Matthieu enjoys sailing in the bay and brewing his own beers.