Prof.dr. Leen Stougie
Contact
Centrum Wiskunde & Informatica (CWI)
Science Park 123
1098 XG Amsterdam
The Netherlands
E-mail: Leen.Stougie at cwi.nl
Leen Stougie obtained his PhD in Operations Research at the Erasmus University Rotterdam in 1985. His PhD-research and a Post Doc year he did at CWI in the Operations Research and Systems Theory group in the period 1980-1985. In 1986 he spent half a year at the Computer Science Department of the University of California in Berkeley, after which he joined the department of Econometrics and Operations Research of the University of Amsterdam as assistant professor. From 1997 till 2008 he worked in the Combinatorial Optimisation group of the Department of Mathematics and Computing Science of the Technical University Eindhoven, where he became associate professor. Since end of 2008 he is full professor of Operations Research in the Department of Econometrics and Operations Research at the Vrije Universiteit (VU) Amsterdam. Since Spring 2017 his main occupation became senior researcher and group leader of the Life Sciences and Health (LSH) group at CWI, keeping a part-time full professorship at the VU.
His main research area is combinatorial optimization, with applications in life sciences and logistics. Specifically his interest in these fields is on algorithm design and analysis, often related to complexity theory. A common theme in his research is combinatorial optimization under uncertainty: stochastic programming, on-line optimization and more recently optimization under scenarios. In combinatorial optimization his work is lately concentrating on scheduling.
Since 2004 computational biology has become an important part of his research and will be a dominant part from now on. In this area his work is and will continue to be concentrated on enumeration problems in metabolic network analysis, which he does as team-member of the INRIA-ERABLE team, and algorithms for phylogenetic trees and networks in collaboration with UM and TUD. Recently he worked on graph problems related to huge meta-genomes with researchers from the LSH group.