Research Topics

Research topics

We focus on computational analysis of complex natural and social systems. We blend elements from machine learning/AI, statistical and probabilistic programming, complex systems, and data science in order to develop novel, targeted techniques to extract information and insights from rich data streams based on combinations of human and machine intelligence. We coordinate open developer communities that help to translate latest theoretical advances into accessible methods to inform modeling, experimentation, and decision-making. Key applications include microbiome research, population studies, and computational humanities.

A graphical representation of a probabilistic model
Figure by: Ville Laitinen & Leo Lahti

Publications by theme:

Funding and support

The work has been supported by:


Links to ongoing and recent projects.

Computational life sciences:

Computational humanities: