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
- Daily skin-to-skin contact alters microbiota development in healthy full-term infants (2024)
- Gut Microbes
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Effects of Obesity and Exercise on Hepatic and Pancreatic Lipid Content and Glucose Metabolism : PET Studies in Twins Discordant for BMI (2024)
- Biomolecules
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Epidemic transmission modeling with fractional derivatives and environmental pathogens (2024)
- International Journal of Biomathematics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Examining the healthy human microbiome concept (2024)
- Nature Reviews Microbiology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Fecal microbiota profiles of growing pigs and their relation to growth performance (2024)
- PLoS ONE
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Fewer culturable Lactobacillaceae species identified in faecal samples of pigs performing manipulative behaviour (2024)
- Scientific Reports
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Greengenes2 unifies microbial data in a single reference tree (2024)
- Nature Biotechnology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Infant gut microbiota and negative and fear reactivity (2024)
- Development and Psychopathology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Integration of polygenic and gut metagenomic risk prediction for common diseases (2024)
- Nature Aging
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - LimROTS Bioconductor software package (2024) Youssef, Ali; Jeba, Akewak; Lahti, Leo; Coffey, Eleanor
(I2 Tieto- ja viestintätekninen sovellus)



