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 history. The 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, and have active networks with data science companies and public organizations.
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.
Microbiome research workshop in Seili island, Turku archipelago.Aug 15, 2019
PI Leo Lahti nominated as associate professor in data science in University of Turku, Faculty of Natural Sciences and EngineeringAug 1, 2019
Prashant Gaikwad and Renuka Pothbare from Pune, India arrive for a three-month research visit in Turku. Welcome!12 July 2019
Best poster award at Utrecht Digital Humanities DH2019 conference!