Genomic Medicine Research Group
My research group focuses on understanding the genetic architecture of common complex diseases and translating genomic discoveries into improved prevention, diagnosis, and treatment.
| Group page on VBN | Palle Duun Rohde (PI) VBN profile |
- Statistical genetics & bioinformatics: Development and application of methods for fine-mapping, polygenic risk prediction, and integrative omics analyses.
- Genomic medicine: Translating genetic insights into clinically useful tools, with a special focus on cardiovascular disease, metabolic disorders, and cancer.
- Population-based research: Leveraging large-scale biobank data (e.g., UK Biobank, iPSYCH, and national health registries) to study gene–environment interactions and the societal implications of genomics.
Strategic Focus: Statistical Genomics & AI
A central research priority for the group is advancing statistical genomics through AI-driven methods.
We aim to:
- Develop machine learning and Bayesian modelling approaches for risk prediction and fine-mapping of causal variants.
- Create robust pipelines that integrate genomics, registries, and clinical data to enable personalised screening and precision medicine.
- Explore the ethical and societal aspects of applying AI to genomic data, ensuring that innovation is implemented responsibly in healthcare.
This strategic direction positions the group at the interface of genomic medicine, AI, and public health.
Teaching
We are actively engaged in teaching and supervision at Aalborg University, covering topics such as:
- Statistical genetics and computational genomics
- Bioinformatics and machine learning for health data
- Genomic medicine and precision health
- Supervision of MSc and PhD students across medicine, bioinformatics, and engineering
Our Team
The Genomic Medicine group is an interdisciplinary team of researchers with backgrounds in medicine, genetics, bioinformatics, and data science. We work closely with national and international collaborators across academia, healthcare, and industry.
Our goal is to combine methodological innovation with clinical relevance to ensure that advances in genetics translate into tangible benefits for patients and society.
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