About

I am Director of AI & Data Science at Doctolib, where I lead the AI efforts on the practitioner side — the tools that help doctors, clinics, and healthcare professionals run their practice more efficiently. From intelligent scheduling to clinical workflows, we're building AI that gives time back to those who care for patients.

Past TL;DR
AI Engineering Director at Algolia. Led AI initiatives including AI Search and Algolia Recommend. Loved the challenge of building AI at the core of search engines for thousands of diverse use cases.

Lead Machine Learning Engineer at Doctrine, Paris, a blooming French Legaltech startup. I focused on search and recommendation to always propose users the most relevant documents. I loved tackling the challenges of dealing with Legalese and fulfilling user needs in such a specific domain.

Postdoctoral Visiting Fellow in Zhiyong Lu‘s Biomedical Text Mining group at the National Center for Biotechnology Information of the National Institutes of Health, Bethesda, USA. I was privileged to be able to work on PubMed and PubMed Labs search engines — the latter became the new PubMed since then. My work there focused on improving the systems by providing more accurate query answers through a better understanding of queries, documents and relevance. This work has impacted the experience of the millions of users PubMed welcomes every day.

Collaboration during my free time with Moreno Mitrović on topics related to computational linguistics.

PhD student in the LGI2P lab of IMT Mines Alès, France. I happened to work with the MAB team of the LIRMM at Montpellier, on phylogenetics and evolution. On these topics, I also worked with the Ensembl team of the European Bioinformatics Institute on genomic alignments.

Research interests