Rosa Lundbye Allesøe
Research interests
Machine learning | Multi-omics analysis and Integration | Mental disorders | Immunology.
My main interest is trying to understand complex diseases, such as mental disorders, through integration of multiple data sources using machine learning methods. The end goal is to investigate how this can be used to help provide better care for the patients.
I have throughout my studies gained a wide range of different expertise with analysis of various types of big data including WGS/WES, registry data, SNP arrays, metagenomics and scRNA-seq. All within different research fields such as antibiotic resistance, bacterial subtyping, cancer immunology, diabetes and lately mental disorders. Several of these projects involved applying and developing deep learning methods for data analysis.
Main PhD project
My PhD project in the Rasmussen lab is on applying machine learning methods for better understanding and stratification of mental disorders, specifically focused on schizophrenia and depression. Within psychiatry the choice of care is predominantly based on trial and error using “one-size-fits-all” approaches, which results in a sub-optimal treatment and a large proportion of non-responding patients. A more personalised treatment would benefit not only the patient, but also society in terms of more effective care. To achieve this a better understanding of the complexity of the disorders and improved patient stratification are crucial. Previously data have been investigated mainly with one risk factor at a time thus complex structures might be overlooked by not leveraging the wealth of data and novel data analytical approaches now available.
The overall objectives are to utilize novel deep machine learning models for integrating different complex and heterogeneous data types to identify underlying data structures, disease mechanisms and disease clusters within mental disorders. This will be used to build better prediction models for patient stratification aiding in improving clinical decision making.
Short CV
- 2019 - Present: PhD Fellow in Rasmussen Lab at the Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Denmark.
- 2019: Research Assistant in Rasmussen Lab and Brunak Lab at DTU and NNFCPR
- 2018: Research Assistant in Pers Group at KU Department of Neuroscience and NNFCBMR
- 2018: Graduate Student Researcher at Catherine J. Wu’s lab at Dana-Farber Cancer Institute and Harvard Medical School
- 2016-2018: MSc. Eng. Bioinformatics and Systems Biology (Honours Programme) at DTU
- 2013-2016: BSc. Eng. Human Life Science at DTU