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Lars Arge


Lars Arge

Bio Sketch

I obtained my Ph.D. from Aarhus University in 1996 and also hold an honorary doctorate from Technical University of Eindhoven. 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 Rømer Scholarship from the Danish National Science Research Council and a Career Award from the US National Science Foundation.

From 1996 to 2004 I was at beautiful Duke University. I returned to Aarhus in 2004, and from 2007 to 2017 I was Director of Center for Massive Data Algorithmics (MADALGO) funded by the Danish National Research Foundation. Since 2016 I have also been Secretary General of The Royal Danish Academy of Sciences and Letters.            

I have served on a large number of boards and committees. From 2013 to 2019 I e.g. was a member of the Natural Science council of Independent Research Fund Denmark, and served as vice-chair 2015-2016 and as chair 2016-2018. Currently I e.g. serve on the editorial boards the journals ACM Transactions on Spatial Algorithms and Systems, of Journal of Experimental Algorithmics, of Electronic Proceedings in Theoretical Computer Science and of Algorithmica, as well as on the boards of Videnskabsklubben, of Carlsbergs Mindelegat for Brygger J.C. Jacobsen, of the Niels Bohr Foundation and of the Aksel Tovborg Jensen Foundation (chair). I am also co-founder and chair of board of the company Scalable Algorithmics (SCALGO) that markets big terrain data processing software and data services, in particular for flood risk analysis.

Research Interests

I work in the area of algorithms and data structures, especially in the area of big data and data analytics, with main research interest in memory-hierarchy efficient algorithms, especially I/O-efficient algorithms, for problems involving big data. I have worked on theoretical big data problems in many fundamental areas, but have also investigated the practical merits of theoretically developed algorithms in several, often interdisciplinary, projects.

See my CV for full details, including a list of papers and grant.

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