Leo Lahti
Professor
leo.lahti@utu.fi +358 29 450 2390 +358 50 436 4626 Vesilinnantie 5 Turku Työhuone: 452E ORCID-tunniste: 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 Tieto- ja viestintätekninen sovellus) - Fractional modelling of COVID-19 transmission incorporating asymptomatic and super-spreader individuals (2025)
- Mathematical Biosciences
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Gender differences in global antimicrobial resistance (2025)
- npj biofilms and microbiomes
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Gut Microbiome as a Risk Factor for Future CKD (2025)
- Kidney International Reports
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Gut microbiome-derived bacterial extracellular vesicles in patients with solid tumours (2025)
- Journal of Advanced Research
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Gut microbiota-derived extracellular vesicles form a distinct entity from gut microbiota (2025)
- MSystems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - HoloFoodR: a statistical programming framework for holo-omics data integration workflows (2025)
- Bioinformatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - iSEEtree: interactive explorer for hierarchical data (2025)
- Bioinformatics Advances
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Learning and teaching biological data science in the Bioconductor community (2025)
- PLoS Computational Biology
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - LimROTS: A Hybrid Method Integrating Empirical Bayes and Reproducibility-Optimized Statistics for Robust Differential Expression Analysis (2025)
- Bioinformatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )



