Laura Elo
 


laura.elo@utu.fi

+358 29 450 2090

+358 50 468 0795

Tykistökatu 6

Turku


ORCID-tunnistehttps://orcid.org/0000-0001-5648-4532

https://elolab.utu.fi




Asiantuntijuusalueet
Computational biomedicine, medical bioinformatics, data science, machine learning, artificial intelligence, biomarkers, computational systems immunology

Biografia

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).



Tutkimus

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



Opetus

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



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  •   (2021)  
    • Frontiers in immunologyRNA Biology
     Gulich Alexandra F, Rica Ramona, Tizian Caroline, Viczenczova Csilla, Khamina Kseniya, Faux Thomas, Hainberger Daniela, Penz Thomas, Bosselut Remy, Bock Christoph, Laiho Asta, Elo Laura L, Bergthaler Andreas, Ellmeier Wilfried, Sakaguchi ShinyaA1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä


  •   (2021)  
    • Nature CommunicationsBioinformatics
     Munne Pauliina M., Martikainen Lahja, Räty Iiris, Bertula Kia, Nonappa, Ruuska Janika, Ala-Hongisto Hanna, Peura Aino, Hollmann Babette, Euro Lilya, Yavuz Kerim, Patrikainen Linda, Salmela Maria, Pokki Juho, Kivento Mikko, Väänänen Juho, Suomi Tomi, Nevalaita Liina, Mutka Minna, Kovanen Panu, Leidenius Marjut, Meretoja Tuomo, Hukkinen Katja, Monni Outi, Pouwels Jeroen, Sahu Biswajyoti, Mattson Johanna, Joensuu Heikki, Heikkilä Päivi, Elo Laura L., Metcalfe Ciara, Junttila Melissa R., Ikkala Olli, Klefström Juha
    (
    A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )


  • Computational deconvolution to estimate cell type-specific gene expression from bulk data  (2021)  
    • NAR Genomics and Bioinformatics: Nucleic Acids Research Genomics and Bioinformatics
     Jaakkola Maria K., Elo Laura L.
    (
    A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )


  • Computational strategies for single-cell multi-omics integration  (2021)  
    • Computational and Structural Biotechnology Journal
     Adossa Nigatu, Khan Sofia, Rytkönen Kalle T., Elo Laura L.
    (
    A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )


  • Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge  (2021)  
    • npj Digital Medicine
     Sieberts SolveigK, Schaff Jennifer, Duda Marlena, Pataki Bálint Ármin, Sun Ming, Snyder Phil, Daneault Jean-Francois, Parisi Federico, Costante Gianluca, Rubin Udi, Banda Peter, Chae Yoree, Neto Elias Chaibub, Dorsey E Ray, Aydin Zafer, Chen Aipeng, Elo Laura L, Espino Carlos, Glaab Enrico, Goan Ethan, Golabchi Fatemeh Noushin, Görmez Yasin, Jaakkola Maria K, Jonnagaddala Jitendra, Klén Riku, Li Dongmei, McDaniel Christian, Perrin Dimitri, Perumal Thanneer M, Rad Nastaran Mohammadian, Rainaldi Erin, Sapienza Stefano, Schwab Patrick, Shokhirev Nikolai, Venäläinen Mikko S, Vergara-Diaz Gloria, Zhang Yuqian, Wang Yuanjian, Guan Yuanfang, Brunner Daniela, Bonato Paolo, Mangravite Lara M, Omberg Larsson; the Parkinson's Disease Digital Biomarker Challenge Consortium
    (
    A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )


  • Differential ATAC-seq and ChIP-seq peak detection using ROTS  (2021)  
    • NAR Genomics and Bioinformatics: Nucleic Acids Research Genomics and Bioinformatics
     Faux Thomas, Rytkönen Kalle T., Mahmoudian Mehrad, Paulin Niklas, Junttila Sini, Laiho Asta, Elo Laura L.
    (
    A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )


  • Discovery of a Novel CIP2A Variant (NOCIVA) with Clinical Relevance in Predicting TKI Resistance in Myeloid Leukemias  (2021)  
    • Clinical Cancer Research
     Mäkelä Eleonora, Pavic Karolina, Varila Taru, Salmenniemi Urpu, Löyttyniemi Eliisa, Nagelli Srikar G., Ammunét Tea, Kähäri Veli-Matti, Clark Richard E., Elo Laura L., Bachanaboyina Venkata Kumari, Lucas Claire M., Itälä-Remes Maija, Westermarck Jukka
    (
    A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )


  • Evaluation of tools for identifying large copy number variations from ultra-low-coverage whole-genome sequencing data  (2021)  
    • BMC Genomics
     Smolander Johannes, Khan Sofia, Singaravelu Kalaimathy, Kauko Leni, Lund Riikka J., Laiho Asta, L. Elo Laura
    (
    A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )


  • Exon-level estimates improve the detection of differentially expressed genes in RNA-seq studies  (2021)  
       Mehmood Arfa, Laiho Asta, Elo Laura L
      (
      A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )


    • ILoReg: a tool for high-resolution cell population identification from single-cell RNA-seq data  (2021)  
         Smolander Johannes, Junttila Sini, Venäläinen Mikko S, Elo Laura L
        (
        A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )



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