Leo Lahti
Professor
leo.lahti@utu.fi +358 29 450 2390 +358 50 436 4626 Vesilinnantie 5 Turku Office: 452E ORCID identifier: https://orcid.org/0000-0001-5537-637X |
Data science; AI; Machine Learning; Applied statistics; Statistical programming; Probabilistic models; Complex natural and social systems; Microbial ecology; Computational humanities; Open knowledge
Leo Lahti is professor in Data Science in University of Turku, Finland. His research team focuses on computational analysis and modeling of complex natural and social systems. Lahti obtained doctoral degree (DSc) from Aalto University in Finland (2010), developing probabilistic machine learning methods for high-throughput life science data integration. This was followed by subsequent postdoctoral research at EBI/Hinxton (UK), Wageningen University (NL), and VIB/KU Leuven (BE). Lahti has coordinated international networks in data science methods and applications and organizes international data science training events on a regular basis. He is vice chair for the national coordination on open science Finland, executive committee member for the International Science Council Committee on Data (2023-2025), member of the global Bioconductor Community Advisory Board, and founder of the open science work group of Open Knowledge Finland ry. For more information, see the research homepage iki.fi/Leo.Lahti
Computational scientist focusing on change in complex natural and social systems, and how they can be understood through a computational lens.
Computational and data science, statistical and probabilistic programming, machine learning, AI, applied statistics, ecological models, open science
- finna: Access the 'Finna' API (2025) Jeba, Akewak; Lahti, Leo
(I2 ICT program or software application ) - Fractional modelling of COVID-19 transmission incorporating asymptomatic and super-spreader individuals (2025)
- Mathematical Biosciences
(A1 Refereed original research article in a scientific journal) - Gender differences in global antimicrobial resistance (2025)
- npj biofilms and microbiomes
(A1 Refereed original research article in a scientific journal) - Gut Microbiome as a Risk Factor for Future CKD (2025)
- Kidney International Reports
(A1 Refereed original research article in a scientific journal) - Gut microbiome-derived bacterial extracellular vesicles in patients with solid tumours (2025)
- Journal of Advanced Research
(A1 Refereed original research article in a scientific journal) - Gut microbiota-derived extracellular vesicles form a distinct entity from gut microbiota (2025)
- MSystems
(A1 Refereed original research article in a scientific journal) - HoloFoodR: a statistical programming framework for holo-omics data integration workflows (2025)
- Bioinformatics
(A1 Refereed original research article in a scientific journal) - iSEEtree: interactive explorer for hierarchical data (2025)
- Bioinformatics Advances
(A1 Refereed original research article in a scientific journal) - Learning and teaching biological data science in the Bioconductor community (2025)
- PLoS Computational Biology
(A2 Refereed review article in a scientific journal ) - LimROTS: A Hybrid Method Integrating Empirical Bayes and Reproducibility-Optimized Statistics for Robust Differential Expression Analysis (2025)
- Bioinformatics
(A1 Refereed original research article in a scientific journal)



