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.
Publications by theme:
Funding and support
The work has been supported by:
- EU / Horizon
- Academy of Finland
- Strategic Research Council in Finland
- KONE foundation
- Alhopuro foundation
- Finnish Cultural FOundation
- Turku University Foundation
- Biocity Turku
- CIMO/EFUDI
- UTUGS/MATTI and UTUGS/DPT Graduate Schools
- University of Turku
Projects
Links to ongoing and recent projects.
Computational life sciences:
- Eco-evolutionary mechanisms underlying critical transitions in microbial communities Academy of Finland 2020-2024
- FindingPheno/RIA EU / Horizon 2021-2025
- ML4microbiome COST action on Statistical and Machine Learning Techniques in Human Microbiome Studies; EU 2019-2023
- KONE / HAT research to compare evolutionary processes in nature and society (2022-2024)
- Biocity Turku Computational and Molecular Methods for Life Sciences (CompLifeSci) program (2022-2026)
Computational humanities:
- OpenMUSE/RIA EU / Horizon 2023-2025
- Digital History for Literature in Finland Academy of Finland 2022-2026
- Strategic Research Council: Young Despair 2022-2025
- FIN-CLARIAH Infrastructure for Digital Humanities