Freelancer in web technologies and data-mining
I am currently working as Lead Machine Learning Engineer at Doctrine, Paris, a blooming French Legaltech startup. I focus on search and recommendation to always propose users the most relevant documents. I love tackling the challenges of dealing with Legalese and fulfilling user needs in such a specific domain.
Prior to that, I was a 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 also collaborate during my free time with Moreno Mitrović on topics related to computational linguistics. I was a 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.
As a researcher at NCBI, I am privileged to be able to work on PubMed and PubMed Labs search engines. My work focuses on improving the current systems by providing more accurate query answers through a better understanding of queries, documents and relevance. This work has already impacted the experience of the millions of users PubMed welcomes every day.
- machine learning
- information retrieval
- recommender systems
- deep learning
- text mining
- natural language processing