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
- Alistipes and Eggerthella shape the response to oncolytic adenovirus therapy in mice and humans through short-chain fatty acid metabolism (2026)
- OncoImmunology
(A1 Refereed original research article in a scientific journal) - Application of Mass Spectrometry-Based Metabolomics and Machine Learning in the Diagnostics of Lyme Neuroborreliosis (2026)
- ACS Omega
(A1 Refereed original research article in a scientific journal) - Association between infant and toddler gut microbiota composition and later executive functioning (2026)
- Development and Psychopathology
(A1 Refereed original research article in a scientific journal) - Gut Microbiota‐Derived Extracellular Vesicles in Patients With Obesity Undergoing Gastric Bypass Surgery (2026)
- Molecular Microbiology
(A1 Refereed original research article in a scientific journal) - Higher abundance of Faecalibacterium prausnitzii in the gut microbiome is associated with a lower risk of sepsis development among 6,372 individuals followed for 20 years (2026)
- MSystems
(A1 Refereed original research article in a scientific journal) - Lifestyle associates with unique resistome and microbiome signatures in children (2026)
- BMC Microbiology
(A1 Refereed original research article in a scientific journal) - Näkökulmia nuorten itsemurha-, huume- ja väkivaltakuolemiin : Sosiaalinen kuolemansyyntutkimus ja epätoivokuolemat (2026)
- Yhteiskuntapolitiikka
(B1 Non-refereed article in a scientific journal) - Prospective association between the gut microbiome and incident hypertension: a 20-year cohort study (2026)
- Journal of Hypertension
(A1 Refereed original research article in a scientific journal) - Roadmap for integrated One Health AMR surveillance in Nordic countries (2026)
- Public Health
(A2 Refereed review article in a scientific journal ) - Uncomplicated and Complicated Acute Appendicitis Induce Different Cytokine Patterns (2026)
- APMIS
(A1 Refereed original research article in a scientific journal)



