I am a Professor of Computer Science and Director
of Center for Massive Data Algorithmics (MADALGO) funded by the Danish
National Research Foundation.
I received my Ph.D. in Computer Science from
Aarhus University in 1996 and until August 2004 I
was at the Department of Computer Science at beautiful Duke
I am an elected member of the Royal Danish Academy of Sciences and Letters and The Danish Academy of Technical Sciences, an ACM Fellow, and the recipient of the Danish Minister of Research Elite Research Award ("Videnskabsministeriets
EliteForsk-pris"), an Ole R�mer
Scholarship from the Danish National Science Research Council and a Career
Award from the US National Science Foundation. I also hold an honorary
degree from Technical University of
Eindhoven. My cv has more detail.
My main research interests lie in the area of
memory-hierarchy efficient algorithms, especially I/O-efficient algorithms
for problems involving massive datasets. I have worked on massive dataset
problems in many fundamental areas, but much of my work has been on
I/O-efficient algorithms and data structures for problems with practical
applications in geographical information systems and spatial databases. I
have investigated the practical merits of theoretically developed
I/O-efficient algorithms in projects such as TPIE, TerraFlow, Stream and TerraStream.
I am co-founder of the company Scalable Algorithmics (SCALGO), established to commercialize I/O-efficient
technology for processing of massive terrain data.