Laura Elo
laura.elo@utu.fi +358 29 450 2090 +358 50 468 0795 Tykistökatu 6 Turku |
Computational biomedicine, medical bioinformatics, data science, machine learning, artificial intelligence, biomarkers, computational systems immunology
Laura Elo is Professor of Computational Medicine and Head of Medical Bioinformatics Centre at University of Turku, Finland. She received PhD in Applied Mathematics in 2007 and became Adjunct Professor in Biomathematics in 2011. After postdoctoral research in molecular immunology and computational systems biology, she received JDRF Career Development Award from US and established herself as independent group leader. In 2014 she became Research Director and in 2016 Vice Director of Turku Bioscience. She has published >180 research articles and >20 software packages and led several research projects (e.g. ERC).
We develop computational methods and models for transforming large-scale molecular and clinical datasets to biomedical knowledge. A specific focus is on analyzing and interpreting data generated by modern high-throughput biotechnologies and other digital health data in a robust and reproducible manner. Using statistical modelling and advanced machine learning techniques, we have, for instance, identified early markers for type 1 diabetes and developed several powerful computational models for predicting disease and treatment risks. The ultimate goal is to improve the diagnosis, prognosis and treatment of complex diseases in close collaboration with experimental and clinical research groups. In our ongoing studies, we focus on development of robust computational tools for proteome, epigenome, and multi-modal single-cell data analysis; artificial intelligence in the analysis of digital health data for early prediction of disease and treatment risks; and computational systems immunology to study human T cell development and immune-mediated diseases. For more information, visit our website: https://elolab.utu.fi
Modern Biotechnologies and Bioinformatics; Bioinformatics in Drug Discovery; Systems biology; AI in Diagnostics, Drug Discovery and Imaging; Bioinformatics Journal Club
Training of MSc and PhD students and postdoctoral fellows
- Complex Interplay Between MAZR and Runx3 Regulates the Generation of Cytotoxic T Lymphocyte and Memory T Cells (2021)
- Frontiers in immunology
- Compressive stress-mediated p38 activation required for ERα + phenotype in breast cancer (2021)
- Nature Communications
- Computational deconvolution to estimate cell type-specific gene expression from bulk data (2021)
- NAR Genomics and Bioinformatics: Nucleic Acids Research Genomics and BioinformaticsBMC Genomics
- (2021)
- Computational and Structural Biotechnology JournalBioinformatics
- Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge (2021)
- npj Digital MedicineClinical Cancer Research
- Differential ATAC-seq and ChIP-seq peak detection using ROTS (2021)
- NAR Genomics and Bioinformatics: Nucleic Acids Research Genomics and Bioinformatics
- Discovery of a Novel CIP2A Variant (NOCIVA) with Clinical Relevance in Predicting TKI Resistance in Myeloid Leukemias (2021)
- Evaluation of tools for identifying large copy number variations from ultra-low-coverage whole-genome sequencing data (2021)
- Exon-level estimates improve the detection of differentially expressed genes in RNA-seq studies (2021)
- RNA Biology
- ILoReg: a tool for high-resolution cell population identification from single-cell RNA-seq data (2021)



