Research


Our research focuses on computational analysis of complex natural and social systems. There is a great demand for targeted computational techniques to extract information and insights from rich data collections based on clever combinations of human and machine intelligence. We blend elements from fields such as machine learning/AI, probabilistic programming, statistical ecology, and data science, and drive open developer communities that help to translate latest theoretical advances into accessible methods to inform modeling, experimentation, and decision-making. For a full list of publications check this page.

Preprints

Impacts of maternal microbiota and microbial metabolites on fetal intestine, brain and placenta
Husso A, Pessa-Morikawa T, Koistinen V, Karkkainen O, Lahti L, Iivanainen A, Hanhineva K & Niku M.
bioRxiv Cold Spring Harbor Laboratory, 2022
10.1101/2022.07.01.498433 | URL

Probabilistic multivariate early warning signals
Laitinen V & Lahti L.
2022 Preprint
URL

The gut microbiome is a significant risk factor for future chronic lung disease
Liu Y, Teo S, Meric G, Tang H, Zhu Q, Sanders J, Vazquez-Baeza Y, Verspoor K, Vartiainen V, Jousilahti P, Lahti L, Niiranen T, Havulinna A, Knight R, Salomaa V & Inouye M.
2022 Preprint
URL

All publications

All publications