menu

Awarded Projects

Programme
All awards
Collaborative Research Programme
Research Infrastructure Programme
Other data science awards
Emerging Investigator
Ascending Investigator
Distinguished Investigator
Year
All years
2018
2019
2020
2021
2022
2023
2024
2024
Decoding faba bean yield stability: From in-field image data to mechanistic models (DIGIFABA)
Dorte Bodin Dresbøll - Associate Professor, Ph.D. Department and Administering Institution: University of Copenhagen, Department of Plant and Environmental Sciences
Read more about the project
Deep Immune Receptor Modeling (DIRM)
Morten Nielsen - Professor, Ph.D., Department and Administering Institution: Technical University of Denmark, Health Technology Department
Read more about the project
(LM)2-SEC: Linguistically Motivated Language Model Security
Johannes Bjerva, Professor, Ph.D., Department and Administering Institution: Aalborg University, Department of Computer Science
Read more about the project
CHEeTAh: CHallenges of Evaluating Teams and Algorithms
Veronika Cheplygina -  Associate Professor, Dr. ir., Department and Administering Institution: IT University of Copenhagen
Read more about the project
Responsibly Uncertain: Quantifying the Robustness of Responsible AI in the Face of Uncertainty (RespUncible)
Aasa Feragen - Professor, Department and Administering Institution: Technical University of Denmark, Department of Applied Mathematics and Computer Science
Read more about the project
Development and application of generative AI models for ctDNA detection and characterization
Jakob Skou Pedersen - Professor, Ph.D., Department and Administering Institution: Aarhus University, Department of Molecular Medicine and Department of Clinical Medicine
Read more about the project
MorphAI: Data Science and Generative Models of Morphology
Stefan Sommer - Professor, Ph.D., Department and Administering Institution: University of Copenhagen, Department of Computer Science
Read more about the project
Deep Learning and Multimodal Trajectories to Detect Pancreatic Cancer via Routes of Diabetes
Jessica Xin Hjaltelin - Associate Professor, Ph.D., Department and Administering Institution: University of Copenhagen, Department of Public Health
Read more about the project
Probabilistic modelling approaches for deciphering post-transcriptional gene regulation 
Sarah Rennie - Assistant Professor, Ph.D., Department and Administering Institution: Section for Computational and RNA Biology, Department of Biology, University of Copenhagen 
Read more about the project
Leveraging genomics and deep learning for biodiversity conservation
Michael Westbury - Assistant Professor, Ph.D., Department and Administering Institution: University of Copenhagen, Globe Institute
Read more about the project
InForM: Inference, Forecasting, and Mitigation of future pandemics
Jonas Lybker Juul - Assistant Professor, Ph.D., Department and Administering Institution: IT University of Copenhagen
Read more about the project
GenHap: Advancing Genomics and Precision Medicine with Scalable Haplotype-based Computational Methods
Jonas Meisner - Assistant Professor, Ph.D., Department and Administering Institution: Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen
Read more about the project
Multi-microbiome approaches for genomic mining of hidden antimicrobials and drug resistance (MULTIBIOMINE)
Patrick Munk - Tenure Track Assistant Professor, Ph.D., Department and Administering Institution: Technical University of Denmark, National Food Institute
Read more about the project
2023
APEX – Artificial Intelligence for Policy Excellence in the Climate Crisis
Francisco Pereira, Technical University of Denmark
Read more about the project
Unravelling Immunosenescence from Single Cell and Spatial data
Nicolai Birkbak, Aarhus University
Read more about the project
Charting territories: Refining case-cohort estimation and utilize register-based factors in genetic analyses
Liselotte Vogdrup Petersen, Aarhus University
Read more about the project
Early detection of epidemics in livestock and wildlife using deep learning
David Duchene Garzon, University of Copenhagen
Read more about the project
Specific gene regulation in space and time through oscillations and liquid-liquid phase separation
Mathias Spliid Heltberg, University of Copenhagen
Read more about the project
Mechanoreciprocity in in-silico biological matter
Kristian Thijssen, University of Copenhagen
Read more about the project
Data-adaptive targeted machine learning methods for analyzing dynamic treatment effects in observational healthcare data
Helene Charlotte Wiese Rytgaard, University of Copenhagen
Read more about the project
New computational approaches for understanding the emergence of social network structures
Josefine Bohr Brask, University of Copenhagen
Read more about the project
SE3D: Synthetic health data: ethical development and deployment via deep learning approaches
Martin Bøgsted – Professor, Center for Clinical Data Science, Aalborg Universitet
Read more about the project
Tensor Networks for Data Science: Stability, Efficiency and Explainability at Scale
Morten Mørup –Professor, Section for Cognitive Systems, DTU Compute, Danmarks Tekniske Universitet
Read more about the project
Unravelling shared disease mechanisms of ADHD and obesity by large-scale multidimensional data analyses
Ditte Demontis –Professor, Department of Biomedicine, Aarhus Universitet
Read more about the project
Deep Fetal Development: AI for Fetal Development Analysis and Impact on Future Health of Mother and Child
Mads Nielsen –Professor, Department of Computer Science, Københavns Universitet
Read more about the project
2022
Pioneer Centre for AI
Serge Belongie, University of Copenhagen
Read more about the project
ALFADIAB – Algorithmic Fairness in Diabetes Prediction
Tibor V. Varga, University of Copenhagen
Read more about the project
Integration of longitudinal multimodal data in clinical risk prediction using deep learning
Adam Hulman, Steno Diabetes Center Aarhus
Read more about the project
Optimizing medical decision making: advancing and refining estimation and evaluation of personalized treatment rules
Erin Gabriel, University of Copenhagen
Read more about the project
Bayesian neural networks for molecular discovery
Mikkel Schmidt, Technical University of Denmark
Read more about the project
A simulation and inference toolbox for spatio-temporal genome evolution
Fernando Racimo, University of Copenhagen
Read more about the project
GolgiNet: Data science to take glycomics in silico and beyond
Hiren Joshi, University of Copenhagen
Read more about the project
DEVELOP: Using data science to estimate overdiagnosis and mortality reduction in cancer screening programs
Sisse Njor, Randers Regional Hospital
Read more about the project
Cognitive spaces – Next generation explainability
Lars Kai Hansen, Technical University of Denmark
Read more about the project
AgroEco-HPM: A high-performance data-driven agroecosystem modelling platform for developing agricultural systems with minimum environmental impact
Sune Darkner – Associate Professor, Department of Computer Science, Københavns Universitet
Read more about the project
Biomedical Data Infrastructure (BDI) for health research: National Neurophysiologic Database (NND)
Poul Jørgen Jennum – Professor, Department of Clinical Neurophysiology, Rigshospitalet
Read more about the project
A high-performance computing infrastructure for data-driven research on sustainable energy materials
Kristian Sommer Thygesen – Professor, Department of Physics, Danmarks Tekniske Universitet
Read more about the project
Data Science Research Infrastructure In Radiotherapy
Cai Grau – Professor, Department of Clinical Medicine, Aarhus Universitet
Read more about the project
MOPITAS – Multi-omics profiling in time and space
Richard Röttger – Associate Professor, Department of Mathematics and Computer Science, Syddansk Universitet
Read more about the project
Reading the Reader
Per Bækgaard – Associate Professor, Department of Applied Mathematics and Computer Science (DTU-Compute), DTU
Read more about the project
CAZAI: CAZyme Specificity Prediction Using AI
Bernard Henrissat – Professor, Department of Biotechnology and Biomedicine, DTU
Read more about the project
2021
The Danish Data Science Academy
Lars Kai Hansen, Technical University of Denmark
Read more about the project
Providentia: Privacy-driven Trust in Algorithms
Rasmus Pagh, University of Copenhagen
Read more about the project
Novel methods to model mutational processes in germline and cancer
Søren Besenbacher, Aarhus University
Read more about the project
First principal models, neural networks and functional graphical models for Defining metabolic capacity as a Tool for Personalized nutrition (FOODTOP)
Morten Arendt Rasmussen, University of Copenhagen
Read more about the project
Enhancing statistical methodology for toxicophenomics: High-throughput and high-dimensional data for ecotoxicological risk assessment
Signe M. Jensen, University of Copenhagen
Read more about the project
Islet Cartography – Multi-layered mapping of islets of Langerhans in health and disease
Jesper Madsen, University of Southern Denmark
Read more about the project
Efficient, high-resolution approaches for integrative sequencing analysis of complex diseases
Shilpa Garg, University of Copenhagen
Read more about the project
CausalBiome: Developing a unified statistical framework for analyzing microbiome data
Niklas Pfister, University of Copenhagen
Read more about the project
QUAITOM – The Infrastructure for QUantitative AI-based TOMography
Anders Dahl, Technical University of Denmark
Read more about the project
Risk-assessment of Vector-borne Diseases Based on Deep Learning and Remote Sensing
Jakob Brandtberg Knudsen, The Royal Danish Academy of Fine Arts
Read more about the project
DIRECTION – Data science driven leaf architecture optimization
Staffan Persson, University of Copenhagen
Read more about the project
CRISPRnet: Deep learning and data-driven CRISPR design for network-based multiplexed targeting
Jan Gorodkin, University of Copenhagen
Read more about the project
A framework for an open and scalable infrastructure for health data exemplified by the DD2 initiative
Annelli Sandbæk, Aarhus University Hospital
Read more about the project
Mutational processes in spermatogenesis and their consequences for human health
Mikkel Heide Schierup
Read more about the project
Personalized medicine infrastructure using the open-source OMOP common data model including an Electronic Health Record interface
Ismail Gögenur, Zealand University Hospital
Read more about the project
Novo Nordisk Foundation Center For Genomic Mechanisms of Disease at Broad Institute
Kasper Lage, Broad Institute
Read more about the project
2020
Machine learning methods for data-driven discovery of antibiotic resistance plasmid dissemination and evolution
Søren Sørensen, University of Copenhagen
Read more about the project
Center for Basic Machine Learning Research in Life Science
Ole Winther, University of Copenhagen
Read more about the project
National Health Data Science Sandbox for Training and Research
Anders Krogh, University of Copenhagen
Read more about the project
The OpenNeuroPET Archive – A Molecular Neuroimaging Archive
Gitte Moos Knudsen, Rigshospitalet
Read more about the project
Data science approaches to study epidemiological and genetic underpinnings of hypothyroidism to pave the way for precision medicine
Tugce Karaderi, University of Copenhagen
Read more about the project
Differentiable Physical Models for Data Analysis in Biology
Julius Kirkegaard, University of Copenhagen
Read more about the project
Leveraging artificial intelligence for pancreatic cancer diagnosis, treatment planning and treatment outcome prediction
Bulat Ibragimov, University of Copenhagen
Read more about the project
Ancient Genomes Reconstruction
Gabriel Renaud, Technical University of Denmark
Read more about the project
Identifying Heterogeneous Treatment Effects with Machine Learning
Anders Hviid, Statens Serum Institute
Read more about the project
Scalable Optimization for Data Science
Martin Andersen, Technical University of Denmark
Read more about the project
CLUE: Causal Learning with Unstructured Events
Niels Richard Hansen, University of Copenhagen
Read more about the project
Statistical inference for coupled stochastic processes with multiple timescales and changing environments
Susanne Ditlevsen, University of Copenhagen
Read more about the project
The Danish Multigeneration Register
Anne-Sofie Jensen, Danish National Archives
Read more about the project
2019
Synthetic Health and Research Data (SHARED)
Henning Langberg, University of Copenhagen
Read more about the project
2018
Big Data Centre for Environment and Health
Clive Sabel, Aarhus University
Read more about the project
Big life-course data analytics for understanding disease initiation and progression in diabetes and its complications
Søren Brunak, University of Copenhagen
Read more about the project
Harnessing the Power of Big Data to Address the Societal Challenge of Aging
Rudi Westendorp, University of Copenhagen
Read more about the project