People

The DeiC Interactive HPC Consortium

DeiC Interactive HPC is hosted and operated by a consortium comprised of Aalborg University, Aarhus University and SDU.


Claudio Pica

eScience Center Director


eScience Center
SDU

Contact

Per Møldrup-Dalum

Research Data Specialist


Center for Humanities Computing
Aarhus University

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Emiliano Molinaro

Team Leader Research Support


eScience Center
SDU

Contact

Peter B Vahlstrup

Research Support


Center for Humanities Computing
Aarhus University

Contact

Jonas Malte Hinchely

Cloud Services


eScience Center
SDU

Contact

Robert Smith

Data Scientist


CLAAUDIA
Aalborg University

Contact

Gergely István Barsi

Data Scientist


CLAAUDIA
Aalborg University

Contact

Sighvatur Sveinn Davidsson

Data Scientist


CLAAUDIA
Aalborg University

Contact

Jes Elgin Jensen

Cloud Engineer


Center for Humanities Computing
Aarhus University

Contact

Kristoffer Nielbo

AU Infrastructure Manager


Center for Humanities Computing
Aarhus University

Contact

Rainer Bohm

Enterprise Architect


CLAAUDIA
Aalborg University

Contact

Martin R. Lundquist Hansen

Team Leader Research Infrastructure


eScience Center
SDU

Contact

Federica Lo Verso

Research Support


eScience Center
SDU

Contact

Dan Sebastian Thrane

Team Leader Cloud Services


eScience Center
SDU

Contact

Henrik Schulz

Cloud Services


eScience Center
SDU

Contact

Brian Alberg

Cloud Services


eScience Center
SDU

Contact

Pelle Rosenbeck Gøeg

Data Scientist


CLAAUDIA
Aalborg University

Contact

Line Ejby Sørensen

Web Communications Manager


Center for Humanities Computing
Aarhus University

Contact


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About DeiC Interactive HPC

DeiC Interactive HPC is part of the national HPC Landscape ensuring access to world-class digital infrastructure to all researchers employed at Danish universities.

Interactive HPC’s characteristic is an interactive approach with a focus on ensuring low barriers to use. This HPC-type may be the first acquaintance with HPC when the individual researcher’s own laptop or desktop computer is insufficient due to lack of computing power, storage space, or memory. However, experienced users will also use this type of system for e.g. Machine Learning, AI and more, as well as prototyping and idea development. It may also be students’ first approach to HPC facilities.