Laura Elo
laura.elo@utu.fi +358 29 450 2090 +358 50 468 0795 Tykistökatu 6 Turku ORCID identifier: https://orcid.org/0000-0001-5648-4532 |
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
- Clarifying the scope and capabilities of ROTS in differential expression analysis (2026)
- Bioinformatics
(A1 Refereed original research article in a scientific journal) - Complete Data Analysis Workflow for Quantitative DIA Mass Spectrometry Using Nextflow (2026)
- Journal of Proteome Research
(A1 Refereed original research article in a scientific journal) - Joint modeling of longitudinal and time‐to‐event data for dynamic disease risk prediction using proteomics (2026)
- Protein Science
(A1 Refereed original research article in a scientific journal) - REACTOR: REgulon Activity analysis and Comparison Tool for single-cell transcriptOmics Research (2026)
- Bioinformatics
(A1 Refereed original research article in a scientific journal) - Testosterone Exposure During Fetal Masculinization Programming Window Determines the Kidney Size in Adult Mice (2026)
- FASEB Journal
(A1 Refereed original research article in a scientific journal) - Therapeutic TG2 inhibition reverses systemic multiomic dysregulation in celiac disease (2026)
- BMC Medicine
(A1 Refereed original research article in a scientific journal) - Transcriptomics of type 1 diabetes progression: a validation study in newly diagnosed patients (2026)
- EBioMedicine
(A1 Refereed original research article in a scientific journal) - Adaptive sequence alignment for metagenomic data analysis (2025)
- Computers in Biology and Medicine
(A1 Refereed original research article in a scientific journal) - A Metabolite-Based Resistance Mechanism Against Malaria (2025)
- Science
(A1 Refereed original research article in a scientific journal) - CellRomeR: an R package for clustering cell migration phenotypes from microscopy data (2025)
- Bioinformatics Advances
(A1 Refereed original research article in a scientific journal)



