About

I received an engineer's degree in electronic and computer science from CPE Lyon in 2016, and I graduated with a Ph.D. in 2020 at ERIC lab (Université Lumière Lyon 2) under the supervision of Julien Velcin and Adrien Guille. My thesis combined the fields of graph machine learning (GML), natural language processing (NLP), information retrieval (IR) and recommender systems. In the meantime, I was a machine learning developer at Digital Scientific Research Technology, a start-up building a web application, Peerus, to help researchers carry out their scientific literature monitoring.

In 2021, I made a 1-year postdoc at LIS lab (Aix-Marseille Université) in the TALEP team, working on NLP and IR for the exploration of archives in the humanities. Then, in 2022, I started working as a senior data scientist at Farfetch, a major e-commerce company focused on luxury fashion, where I worked on building a fashion knowledge graph based on computer vision and NLP models and on using this knowledge graph to train graph neural networks providing predictions for other data science teams in the company.

Since 2024, I've been working as a freelancer to share my experience via research and development missions. My main focus is to democratize graph machine learning for businesses while helping companies to identify the right AI tools to invest for the right challenges.

Please find my contact information here and find my CV here.