Seminars

I founded and organize a bi-monthly research seminar that unites researchers and data scientists at Michelin.
The seminar promotes knowledge sharing and collaboration, highlighting state-of-the-art papers across several domains and topics, including: machine learning (ML), computer vision (CV), natural language processing (NLP), and uncertainty quantification (UQ) with practical applications to tire manufacturing.

The seminar provides a dynamic platform for researchers to present cutting-edge work, discuss recent advances, and explore pathways for translating academic research into industrial applications. By bringing together diverse perspectives across the organization, it fosters interdisciplinary collaboration and accelerates innovation in data-driven manufacturing processes.
Serving as a key forum for knowledge exchange, the seminar helps researchers stay abreast of the latest developments while identifying opportunities for practical implementation. Each session focuses on a single paper or topic, delivering presentations that seamlessly bridge theoretical insights and real-world applications, strengthening collaboration across teams and driving impactful solutions.