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 University where I still
hold an Adjunct Professor position.
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 Rømer Scholarship from the Danish National
Science Research Council and a Career Award from the US National Science Foundation.
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,
I am co-founder of the company
Scalable Algorithmics (SCALGO), established
to commercialize the terrastream
software package for effective
processing of massive terrain