Martin Kersten

Full Name
Prof.dr. M.L. Kersten
Professor - Universiteit van Amsterdam, CWI-Fellow
+31 20 592 4066
CWI Management, Database Architectures


Martin L. Kersten is a computer scientist with research focus on database architectures, query optimization and their use in scientific databases. He is an architect of the MonetDB system, an open-source column for data warehouses, online analytical processing (OLAP) and geographic information systems (GIS). For this work he received the prestigious ACM SIGMOD E.F. Codd Innovation Award and the ACM SIGMOD Systems award. He published > 150 papers and is an ACM Research Fellow. He has been (co-) founder of several successful spin-offs of CWI.


Current projects with external funding

  • LAD: Layered Astronomical Databases (LAD)
  • The SciLens-II Infrastructure, Big Data at work (Scilens-II)

Professional activities

  • Board Member: CEO - MonetDB B.V.
  • Board Member: CEO - MonetDB Solutions
  • Founder: MonetDB BV
  • Board Member: VectorWise
  • Board Member: Amsterdam New-Media Association - [ANMA]
  • Committee member: DAMON Workshop (colocated with ACM SIGMOD)
  • Committee member: IEEE International Conference on Multimedia and Expo - [ICME]
  • Committee member: ACM Conference on Information and Knowledge Management - [CIKM]
  • Committee member: ToKeN2000 - NWO 2005-01
  • Committee member: ACM SIGMOD International Conference on Management of Data - [SIGMOD]
  • Board Member: Helsinki Institute for Information Technology
  • Board Member: Fraunhofer IPSI - GMD IPSI
  • Side Position: Spinque
  • Member: Dutch Research School for Information and Knowledge Systems - [SIKS]
  • Editor: Journal: VLDB Journal
  • Consultant: Philips Research
  • Organizer: XLDB
  • Organizer: ACM SIGMOD AWARDs
  • Member: CWI Fellow


  • NWO Middlegroot "SciLens2" (2016-2018) (2016)
  • NWO Middlegroot "SciLens" (2010-2015) (2010)


  • ACM Systems Award (2016)
  • "The Wildest Idea" Award CIDR Gong Show "The Wildest Idea" award for ""Big Data Space Fungus" (2015) (2015)
  • ACM SIGMOD Edgar F. Codd Innovations Award (2014)
  • Best Paper Runner Up SIGMOD (2009)
  • VLDB 10-year - Best Paper Award 27 August (2009)