PhD student, Poitiers University, France
Mathieu Chartier is a digital humanities researcher, educator, and web professional based in Buxerolles, France. With expertise in natural language processing (NLP) and information retrieval, he bridges technology and history. Mathieu is an independent consultant at Internet-Formation, specializing in digital training, web marketing, and development. A multilingual scholar, he holds a strong academic background in humanities and digital tools, delivering courses on SEO, AI, and digital communication. As a prolific author, Mathieu has written several books and articles about web technologies and marketing. His current PhD research focuses on improving historical data analysis using AI.
Profile
Orcid
Education
Mathieu Chartier earned a Research Master’s in Ancient and Medieval Archaeology (2008) and a Professional Master’s in Information and Communication, Web Editorial Specialization (2009) from Poitiers University. Currently, he is pursuing a PhD in Digital Humanities, focusing on improving information retrieval in historical research through advanced NLP and large language models. Over the years, Mathieu has also acquired certifications in Google Ads and Google Analytics, enhancing his expertise in digital marketing. His interdisciplinary education combines humanities, web technology, and artificial intelligence.
Experience
With a career spanning over 15 years, Mathieu Chartier has held several key roles in academia and industry. As a freelancer, he leads Internet-Formation, providing training in web marketing, SEO, and digital communication. He has been an adjunct lecturer at institutions like the University of Poitiers and Paris-Sorbonne, teaching digital skills, including web marketing, SEO/SEA, and AI. Mathieu has authored multiple books on SEO and Google Ads and has worked as a web editor for the CNED. He has a deep understanding of web technologies, programming, and digital marketing.
Research Focus
Mathieu Chartier’s research in Digital Humanities focuses on enhancing historical data retrieval using Natural Language Processing (NLP) and Large Language Models (LLM). His work aims to develop innovative methods for historical inquiry, applying cutting-edge AI techniques to optimize information retrieval in history. Mathieu’s interdisciplinary approach blends technology and history, making significant contributions to both fields. His current research project, HiBenchLLM, investigates how to benchmark historical inquiries using LLMs, pushing the boundaries of digital history and artificial intelligence.
Publications
- HiBenchLLM: Historical Inquiry Benchmarking for Large Language Models (2024) 📜🤖
- Techniques de référencement web : audit et suivi SEO – 5th edition (2024) 📚💻
- Google Ads : 60 fiches pour obtenir les certifications officielles (2022) 📘📈
- Guide complet des réseaux sociaux (2013) 🌐📱
- Le guide du référencement web (2013) 🔍🌍
- Du bon usage des réseaux sociaux (BioContact n°313) 🗣️💬
- Vie privée, l’enjeu du moment (BioContact n°272) 🔐📚
- Media queries CSS3 pour le web mobile (Oracom, WebDesign magazine) 📱💻