Turku Data Science Group

Modern data analysis from theory to practice

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

Our methodologically oriented research is motivated by data-rich applications that range from molecular life sciences to computational social sciences and humanities (SSH) research. Turku Data Science Group is led by Associate Prof. Leo Lahti.

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 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.


Jan 30, 2020

Our preprint on microbiota and mortality in HS Tiede

Jan 21, 2020

Lecture on open science and collaboration in digital humanities in University of Turku by Leo Lahti

Jan 20, 2020

rOpenGov workshop on geofi R package development

Jan 2, 2020

New preprint in medrXiv on Taxonomic Signatures of Long-Term Mortality Risk in Human Gut Microbiota

Dec 23, 2019

Leo Lahti joined as arXiv moderator (applied statistics)

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