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

Contact

+358 29 450 2090
+358 50 468 0795
Tykistökatu 6
20520
Turku

Areas of expertise

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

Biography

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).

Teaching

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

Research

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

Publications

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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
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

CIP2A interacts with TopBP1 and drives basal-like breast cancer tumorigenesis (2021)

Cancer Research
Laine Anni, Nagelli Srikar G., Farrington Caroline, Butt Umar, Cvrljevic Anna N., Vainonen Julia P., Feringa Femke M., Grönroos Tove J., Gautam Prson, Khan Sofia, Sihto Harri, Qiao Xi, Pavic Karolina, Connolly Denise C., Kronqvist Pauliina, Elo Laura L., Maurer Jochen, Wennerberg Krister, Medema Rene H., Joensuu Heikki, Peuhu Emilia, de Visser Karin, Narla Goutham, Westermarck Jukka
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

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
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))