Laura Elo profile picture
InFLAMES Flagship
Research Director, Turku Bioscience Centre
Professor, Turku Bioscience Centre


+358 29 450 2090
+358 50 468 0795
Tykistökatu 6

Areas of expertise

Computational biomedicine
medical bioinformatics
data science
machine learning
artificial intelligence
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 >150 research articles and >20 software packages and led several research projects (e.g. ERC).


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


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:


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Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes distinguishes markers of disease and C-peptide trajectory (2023)

Moulder Robert, Välikangas Tommi, Hirvonen M. Karoliina, Suomi Tomi A., Brorsson Caroline A., Lietzén Niina, Bruggraber Sylvaine F. A., Overbergh Lut, Dunger David B., Peakman Mark, Chmura Piotr J., Brunak Soren, Schulte Anke M., Mathieu Chantal, Knip Mikael, Elo Laura L., Lahesmaa, Riitta
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

A novel easy-to-use index to predict institutionalization and death in older population - a 10-year population-based follow-up study (2023)

BMC Geriatrics
Heikkilä Elisa, Salminen Marika, Viljanen Anna, Katajamäki Taina, Koivula Marja-Kaisa, Pulkki Kari, Isoaho Raimo, Kivelä Sirkka-Liisa, Viitanen Matti, Löppönen Minna, Vahlberg Tero, Venäläinen Mikko S, Elo Laura L, Viikari Laura, Irjala Kerttu
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Gene expression signature predicts rate of type 1 diabetes progression (2023)

Suomi Tomi, Starskaia Inna, Kalim Ubaid Ullah, Rasool Omid, Jaakkola Maria K., Grönroos Toni, Välikangas Tommi, Brorsson Caroline, Mazzoni Gianluca, Bruggraber Sylvaine, Overbergh Lut, Dunger David, Peakman Mark, Chmura Piotr, Brunak Søren, Schulte Anke M., Mathieu Chantal, Knip Mikael, Lahesmaa Riitta, Elo Laura L. ;INNODIA Consortium
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))