Organisation profile
Organisation profile
We are a section at DTU Compute dedicated to support other departments at DTU and external partners with skills, knowledge and consultancy within the field of statistics and data analysis including biological data.
The section is based on scientific competences within all sections at DTU Compute but has special emphasis on statistics, quantitative genomics, bioinformatics, pattern recognition and software development. DTU Compute has a long history of conducting statistical consultancy and participating in research and publication collaboration with other departments at DTU, other universities and external partners.
The basic purpose of the unit is to formalize this collaboration and contribute to even better research and public service sector consultancy at DTU. With its close connections to DTU Compute research groups in cognitive systems, image analysis and scientific computing, the section stands as a dynamic and substantial player both locally in the Danish statistics arena and internationally.
The section aims at strengthening the connection to the statistics, bioinformatics and computational biology related activities in other departments at DTU and championing the use of high quality statistics within the Public Sector Consultancy activities at DTU. The department already hosts internal and external university consultancy services in statistics.
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 5 Gender Equality -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 14 Life Below Water -
SDG 15 Life on Land -
SDG 16 Peace, Justice and Strong Institutions
Fingerprint
Collaborations and top research areas from the last five years
Profiles
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A Bayesian spatial framework for modeling sub-hourly to daily extreme precipitation in Denmark using SPDE with INLA
Antoniadou, N., Pedersen, J. W., Stockmarr, A., Sørup, H. J. D., Schmith, T. & Mikkelsen, P. S., 2026, In: Journal of Hydrology. 673, 12 p., 135428.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile22 Downloads (Orbit) -
Accounting for Within-Part Variability in Measurement System Analysis
Karaman, M. O., Testik, M. C., Kulahci, M., Steiner, S. & Arslan, Y. E., 2026, In: Computers and Industrial Engineering. 213, 14 p., 111766.Research output: Contribution to journal › Journal article › Research › peer-review
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AI Models for Voice Disorders: Considerations from Development to Deployment
Das, S., 2026, Voice-related Biomarkers . Springer, p. 73-85Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
Open AccessFile31 Downloads (Orbit)
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Bridging evidence synthesis and risk-benefit assessment ofsustainable food consumption patterns for living advice giving
Sondrup, N. (PhD Student), Jakobsen, M. U. (Main Supervisor), Jakobsen, L. S. (Supervisor) & Stockmarr, A. (Supervisor)
01/01/2026 → 31/12/2028
Project: PhD
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Closed Loop AI-driven Protein Binder Design
Hvilshøj, C. (PhD Student), Frellsen, J. (Main Supervisor), Clemmensen, L. K. H. (Supervisor), Schmidt, M. N. (Supervisor), Ferkinghoff-Borg, J. (Supervisor) & Marcatili, P. (Supervisor)
01/01/2026 → 31/12/2028
Project: PhD
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Alignment for LLMs and AI in education
Gao, H. (PhD Student), Clemmensen, L. K. H. (Main Supervisor) & Das, S. (Supervisor)
01/12/2025 → 30/11/2028
Project: PhD
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Nature Communications (Journal)
Stockmarr, A. (Reviewer)
13 Jan 2026 → 26 Jan 2026Activity: Editorial work and peer review › Peer review of manuscripts › Research
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Mathematical modelling of RSV in Denmark: an analysis of the impact of vaccination on RSV-related hospitalisations
Stockmarr, A. (External examiner) & Kølsen Fischer, T. (Internal examiner)
29 Jan 2026Activity: Examinations and supervision › External examination
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Prevention of Childhood Obesity
Stockmarr, A. (Participant)
16 Mar 2026 → 20 Mar 2026Activity: Attending an event › Participating in or organising a conference
Datasets
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Quantifying effects of manufacturing methods on fiber orientation in unidirectional composites using structure tensor analysis
Nymark, A. N. (Contributor), Dahl, V. A. (Contributor), Mikkelsen, L. P. (Contributor), Dahl, A. B. (Contributor) & Jeppesen, N. (Contributor), Zenodo, 2021
DOI: 10.5281/zenodo.4446499, https://zenodo.org/record/4446499
Dataset
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STXAE - X-ray computed tomography data structure tensor orientation mapping for finite element models
Auenhammer, R. M. (Creator), Jeppesen, N. (Creator), Mikkelsen, L. P. (Creator), Dahl, V. A. (Creator) & Asp, L. E. (Creator), Code Ocean, 2021
DOI: 10.24433/co.4407802.v1, https://codeocean.com/capsule/3494546/tree/v1
Dataset
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Characterization of the Fiber Orientations in Non-Crimp Glass Fiber Reinforced Composites using Structure Tensor
Jeppesen, N. (Contributor), Christensen, A. (Contributor), Mikkelsen, L. (Contributor), Dahl, A. (Contributor) & Dahl, V. (Contributor), Zenodo, 2020
DOI: 10.5281/zenodo.3877522, https://zenodo.org/record/3877522
Dataset
Prizes
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Best Contributed Paper Award
Caño de Las Heras, S. (Recipient), Mansouri, S. S. (Recipient), Rootzén, H. (Recipient), Weitze, C. L. (Recipient), Gernaey, K. V. (Recipient), Krühne, U. (Recipient) & Cignitti, S. (Recipient), 5 Jul 2018
Prize: Prizes, scholarships, distinctions
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Press/Media
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Interview om risiko for trafikuheld fra valgplakater
Stockmarr, A. & Kampp, A. K.
13/11/2025
1 item of Media coverage
Press/Media: Press / Media
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AI Denmark Podcast: Hvor skal lejecyklerne stå?
Andersen, A. R.
12/05/2023
1 Media contribution
Press/Media: Press / Media
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AI Denmark Podcast: Værktøjsudlejning med AI - når og hvor du skal bruge maskinen
Andersen, A. R.
23/03/2023
1 Media contribution
Press/Media: Press / Media