Robin Brochier

About

I graduated from CPE Lyon in electronics and computer science and received a PhD in computer science from the ERIC lab (Université Lumière Lyon 2) under the supervision of Julien Velcin and Adrien Guille. My research combines graph machine learning (GML) and natural language processing (NLP) for information retrieval (IR) and recommender systems. In the meantime, I was a machine learning developer at Digital Scientific Research Technology, a small company building a web application, Peerus, to help researchers carry out their scientific literature monitoring. I then completed a post-doctorate at LIS (Aix-Marseille Université) in the TALEP team, focusing on the exploration of archives in the humanities.

My expertise has led me to work on various projects, including the construction of a knowledge graph for the fashion domain at Farfetch, using computer vision, graph neural networks and NLP models. I have also developed expertise in automatic code generation for business intelligence tools using large language models at Pigment.

Passionate about applying artificial intelligence techniques to concrete and impactful problems, I have recently been focusing on health and climate issues.

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