about me papers résumé research links contact

about me

 INRIA Lille
Gus and Pascal

I am a tenured Research Scientist with INRIA, the French National Institute for Research in Computer Science and Control. My current affiliation is with the Magnet team, a joint research group between INRIA Nord Lille Europe Research Center and University of Lille Computer Science Department (CRIStAL). The main research focus of our team is on Machine Learning for Information Networks. Before moving to Lille, I was part of the Alpage project team, common to INRIA Paris Rocquencourt Center and University Paris 7 Linguistics Department.

Prior to joining INRIA, I worked as a Natural Language Scientist for Powerset Inc. (now part of Microsoft, Inc.), a San Francisco-based company specialized in the application of NLP techniques to web search. Before that, I studied and worked at the University of Texas at Austin, from which I received a PhD in 2007. Earlier on, I studied at Université Libre de Bruxelles, Université de Toulouse, and University of Edinbugh.

My research centers around the development of algorithms that are able to analyze human languages. My work lies at the intersection between Natural Language Processing (NLP) and statistical Machine Learning (ML). Within NLP, I am particularly interested in modeling semantic and discourse-based phenomena (such as coreference resolution, discourse parsing, and temporal processing). Within ML, my main research interests are in structured output learning, spectral and graph-based methods, representation and metric learning, online learning, and how these methods can be combined and applied to NLP problems. Most of my publications can be found here. Most of the research projects, software and resources that I have contributed to are listed here. For more information, see my CV.