Team

Institut de Recherche en Informatique de Toulouse (IRIT) – Scientific coordinator
Équipe IRIS – Université Toulouse 3

Lynda Tamine	Lynda is full professor at Université Toulouse 3. Her research mainly concerns the design of contextual IR and collaborative IR models (refers to IR settings tailored for solving complex search tasks). She is the manager of the CoST project. More info
Karen Sauvagnat	Karen is associate professor, accredited to supervise research (HDR), at the Paul Sabatier University in Toulouse since 2006. She is a member of the “Information Retrieval and Information Synthesis” (IRIS) team. More info
Gilles Hubert	Gilles is associate professor in computer science at the University of Toulouse – Paul Sabatier and researcher at IRIT, the laboratory in Computer Science of Toulouse since 1999. He heads the IRIS group (https://www.irit.fr/IRIS-site). His research deals with information retrieval (IR) and information synthesis. More info
Jose G Moreno	Jose is associate professor at the Paul Sabatier University since 2016. His main research is focused on unsupervised learning and information extraction. More info
Luis Lugo	Luis is a PhD student at IRIT. Thesis: Modelling patterns of search behaviours from user interactions. More info
Nicolas Bizzozzero	Nicolas is a PhD student at IRIT. Thesis: Neural Task-Based Information Retrieval Models. More info

Cognition, Langues, Langage, Ergonomie (CLLE)
Axe RAD “Rechercher, Apprendre, Décider” – Université Toulouse-Jean Jaurès

Aline Chevalier	Aline is interested in the impact of complexity of search problems, level of prior knowledge of individuals and aging on performance and strategies developed by users engaged in search tasks. These topics are related to the CoST project especially with WP4 in relationship with WP1. She managed previous projects (e.g., ANR PREDIT and industrial collaborations). She published more than 30 peer-review articles. More info
Pierre-Vincent Paubel	Pierre-Vincent is engineer in ergonomics. He worked on several search projects related to IR and regularly coordinates experiments using the Cognition, Comportements et Usages (CCU) platform1. More info
Cheyenne Dosso	Cheyenne is a PhD student at CLLE. Thesis: Study of user cognitive strategies during complex search task completion.

Laboratoire d’Informatique de Grenoble Alpes (LIG)
Équipe AMA – Université de Grenoble

Eric Gaussier	Eric conducts research at the intersection of Artificial Intelligence (AI) and Data Science (DS) and focuses on models and algorithms to extract information, insights and knowledge from data in various forms. He has worked on three main subfields of AI and DS: machine learning, IR and computational linguistics. More info
Christophe Brouard	Christophe has more than 20 years experience in developing IR models for text categorization, text clustering and filtering. He has also been involved in the development of commercial software. More info

Laboratoire d’Informatique de Paris 6 (LIP6)
Équipe MLIA – Université Pierre et Marie Curie

Patrick Gallinari	Patrick has an extensive experience on machine learning and its application – he has published around 270 papers on these thematics. More info
Sylvain Lamprier	Sylvain (MCF) brings strong skill in representation learning and probabilistic modelling. More info
Benjamin Piwowarski	Benjamin (CR) has worked on user modelling in search (at Yahoo!), IR and, more recently, has focused on deep learning techniques for IR and probabilistic representations. More info
Agnès Mustar	Agnès is a PhD student at LIP6. Thesis: Neural approaches for User Interation Modelling in Task-Based Information Retrieval.