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.


Biochemical analyses can complement sequencing-based ARG load monitoring: A case study in indian hospital sewage networks
Bhanushali S, Parnanen K, Mongad D, Dhotre D & Lahti L.
medRxiv 2024

Elementary methods provide more replicable results in microbial differential abundance analysis
Pelto J, Auranen K, Kujala J & Lahti L.
arXiv 2024
10.48550/arXiv.2404.02691 | URL

FdeSolver: A Julia Package for Solving Fractional Differential Equations
Khalighi M, Benedetti G & Lahti L.
arXiv arXiv, 2022
10.48550/ARXIV.2212.12550 | URL

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

All publications

All publications