I am a technology and research leader with over ten years of experience spanning applied artificial intelligence, natural language processing, and large-scale data mining. I currently lead technology strategy at the deep-tech startup NeoPhi building AI systems that transform complex scientific literature into reliable, actionable knowledge.

My background combines academic research and industrial innovation. I have led AI research programs in industry, managed multidisciplinary teams, and delivered production-ready machine learning solutions, with a strong focus on NLP, statistical modeling, and explainable data-driven systems. My work has resulted in state-of-the-art algorithms, efficient large-scale implementations, and peer-reviewed scientific publications.

In parallel, I have an extensive academic track record, including a PhD in NLP, long-term research affiliation with the Laboratoire Informatique de Paris Nord, and several years of teaching at undergraduate and graduate levels. I have also co-supervised two CIFRE PhD theses in collaboration with academic and industrial partners. This dual expertise allows me to bridge cutting-edge research with real-world impact, from algorithm design to deployed AI products.


Publications

Complete and up-to-date list: Google Scholar  |  DBLP

2025

2024

2023

2022

2018

2017

2016

2015

2014