Resume
Academic Achievements
- Published multiple papers in international journals and conferences, such as: 'Non-parametric Bayesian annotator combination' (Information Science, 2018), 'Crowdsourcing Thousands of Specialized Labels: a Bayesian active training approach' (IEEE Transactions on Multimedia, 2017), 'Profile Diversity for Query Processing using User Recommendations' (Information Systems, Elsevier, 2015), etc.
Research Experience
- Previously involved at British Telecom in modeling host behaviors over the network in a scalable approach using SPARK, focusing on deviant behaviors; Involved in a crowdsourcing project under the supervision of Alexis Joly, associated with the Pl@ntNet project and plant identification, part of a collaboration with Dennis Shasha from NYU.
Education
- Ph.D. defended in December 2014 at LIRMM (i.e. Laboratoire d'Informatique, Robotique et Micro-électronique de Montpellier) in the Zenith Team led by Patrick Valduriez, under the supervision of Pr. Esther Pacitti.
Background
- Currently an assistant professor at LIRMM, Université Paul Valéry Montpellier. Main research interests include: Inference, Bayesian networks, Machine learning, Crowdsourcing, Information Retrieval, Diversification, Recommendation, Clouds, decentralized and multi-sites systems, Gamification.