Pierre Senellart's Website
I am a Professor of Computer Science at the École normale supérieure (ENS, a member of PSL University), within the DI ENS laboratory, joint between CNRS, Inria Paris, and ENS.
Responsibilities
- deputy director of DI ENS
- head of the Valda joint CNRS, ENS, Inria project-team
- junior member of the Institut Universitaire de France
- board of the section 6 of the National Committee for Scientific Research
- PRAIRIE chair holder
- research fellow at CERRE
- board of DIM RFSI
- steering committee of BDA, the French research community on data management
- managing team of the IASD Master and steering committee of the MPRI Master
Contact
Work Address
École normale supérieure
Département Informatique
Passage bleu, B14
(Rataud wing, ground floor)
45 rue d'Ulm
75230 Paris Cedex 05, FRANCE
Tel.:
(+33) 1-44-32-20-61
Fax: (+33) 9-57-71-19-06
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Courriel
News
Where is Pierre on a given day?
Upcoming trips
Short bio
Pierre Senellart is a Professor in the Computer Science Department at the École normale supérieure (ENS, PSL University) in Paris, France, and an Adjunct Professor at Télécom Paris. He is an alumnus of ENS and obtained his M.Sc. (2003) and Ph.D. (2007) in computer science from Université Paris-Sud, studying under the supervision of Serge Abiteboul. He was awarded an Habilitation à diriger les recherches in 2012 from Université Pierre et Marie Curie. Before joining ENS, he was an Associate Professor (2008–2013) then a Professor (2013–2016) at Télécom Paris. He also held secondary appointments as Lecturer at the University of Hong Kong in 2012–2013, and as Senior Research Fellow at the National University of Singapore from 2014 to 2016. Pierre Senellart has published numerous articles in internationally renowned conferences and journals (PODS, SIGMOD, AAAI, VLDB Journal, Journal of the ACM, etc.) He has been a member of the program committee and participated in the organization of various international conferences and workshops (including PODS, WWW, VLDB, SIGMOD, ICDE). His research interests focus around practical and theoretical aspects of Web data management, including Web crawling and archiving, Web information extraction, uncertainty management, Web mining, and intensional data management.