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Awarded Projects
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Year
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2018
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2020
2021
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2023
Unravelling Immunosenescence from Single Cell and Spatial data
Nicolai Birkbak, Aarhus University
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2023
Ascending Investigator
Charting territories: Refining case-cohort estimation and utilize register-based factors in genetic analyses
Liselotte Vogdrup Petersen, Aarhus University
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2023
Ascending Investigator
2022
Optimizing medical decision making: advancing and refining estimation and evaluation of personalized treatment rules
Erin Gabriel, University of Copenhagen
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2022
Ascending Investigator
Bayesian neural networks for molecular discovery
Mikkel Schmidt, Technical University of Denmark
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2022
Ascending Investigator
A simulation and inference toolbox for spatio-temporal genome evolution
Fernando Racimo, University of Copenhagen
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2022
Ascending Investigator
GolgiNet: Data science to take glycomics in silico and beyond
Hiren Joshi, University of Copenhagen
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2022
Ascending Investigator
DEVELOP: Using data science to estimate overdiagnosis and mortality reduction in cancer screening programs
Sisse Njor, Randers Regional Hospital
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2022
Ascending Investigator
2021
Novel methods to model mutational processes in germline and cancer
Søren Besenbacher, Aarhus University
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2021
Ascending Investigator
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
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2021
Ascending Investigator
2020
Ancient Genomes Reconstruction
Gabriel Renaud, Technical University of Denmark
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2020
Ascending Investigator
Identifying Heterogeneous Treatment Effects with Machine Learning
Anders Hviid, Statens Serum Institute
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2020
Ascending Investigator
Scalable Optimization for Data Science
Martin Andersen, Technical University of Denmark
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2020
Ascending Investigator