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. I am also an Adjunct Professor at Télécom Paris.
- deputy director of DI ENS
- head of the Valda Inria project-team
- 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
- steering committee of the MPRI Master
École normale supérieure
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
PGP public key
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Availabilities for an appointment
Please consult my availability calendar for an approximation of the times I may be free for an appointment.
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.