Welcome to Open Research Labs

Modern data analysis from theory to practice

We carry out research on theory, methods and applications of modern statistical and algorithmic data analysis, blending elements from various fields including statistical machine learning/AI, probabilistic programming, numerical ecology, and data science among others.

Our focus is on data-rich applications ranging from molecular life sciences to computational history. The research team is led by PI Leo Lahti who coordinates the Computational biosciences group in University of Turku, Finland. We are also founding members and part of Helsinki Computational History Group.

There is a great demand for targeted algorithmic methods to extract information and insights from data with minimal human intervention to guide modeling and experimentation. By combining information across multiple, complementary sources it is possible to overcome some of the limitations and statistical uncertainties associated with individual data sets. Open research practices play an important role in our all work.

News

12 December 2018

Published A Quantitative Approach to Book-Printing in Sweden and Finland, 1640–1828

12 December 2018

Significantly improved CRAN release for the pxweb R package. Automated access to data from dozens of statistical authorities globally.

11 December 2018

Leo Lahti nominated to Digital Humanities advisory board by National Library of Finland

6 December 2018

Presentation on microbiome data science at European Bioconductor Meeting 2018 in Munich (Slides (PDF)).

5 December 2018

Best oral poster for Anna Aatsinki in Turku Computational Life Science meeting. Congratulations!

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