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
- Effects of Obesity and Exercise on Hepatic and Pancreatic Lipid Content and Glucose Metabolism : PET Studies in Twins Discordant for BMI (2024)
- Biomolecules
(A1 Refereed original research article in a scientific journal) - Epidemic transmission modeling with fractional derivatives and environmental pathogens (2024)
- International Journal of Biomathematics
(A1 Refereed original research article in a scientific journal) - Examining the healthy human microbiome concept (2024)
- Nature Reviews Microbiology
(A1 Refereed original research article in a scientific journal) - Fecal microbiota profiles of growing pigs and their relation to growth performance (2024)
- PLoS ONE
(A1 Refereed original research article in a scientific journal) - Fewer culturable Lactobacillaceae species identified in faecal samples of pigs performing manipulative behaviour (2024)
- Scientific Reports
(A1 Refereed original research article in a scientific journal) - Greengenes2 unifies microbial data in a single reference tree (2024)
- Nature Biotechnology
(A1 Refereed original research article in a scientific journal) - Infant gut microbiota and negative and fear reactivity (2024)
- Development and Psychopathology
(A1 Refereed original research article in a scientific journal) - Integration of polygenic and gut metagenomic risk prediction for common diseases (2024)
- Nature Aging
(A1 Refereed original research article in a scientific journal) - Microbiome confounders and quantitative profiling challenge predicted microbial targets in colorectal cancer development (2024)
- Nature Medicine
(A1 Refereed original research article in a scientific journal) - Multikingdom oral microbiome interactions in early-onset cryptogenic ischemic stroke (2024)
- ISME Communications
(A1 Refereed original research article in a scientific journal) - Print culture and economic constraints : A quantitative analysis of book prices in eighteenth-century Britain (2024)
- Explorations in Economic History
(A1 Refereed original research article in a scientific journal) - Regular Exercise Training Induces More Changes on Intestinal Glucose Uptake from Blood and Microbiota Composition in Leaner Compared to Heavier Individuals in Monozygotic Twins Discordant for BMI (2024)
- Nutrients
(A1 Refereed original research article in a scientific journal) - Role of Gut Microbiota in Statin-Associated New-Onset Diabetes—a Cross-Sectional and Prospective Analysis of the FINRISK 2002 Cohort (2024)
- Arteriosclerosis, Thrombosis, and Vascular Biology
(A1 Refereed original research article in a scientific journal) - Shotgun metagenomic analysis of the oral microbiome in gingivitis: a nested case-control study (2024)
- Journal of Oral Microbiology
(A1 Refereed original research article in a scientific journal) - Aberrations in the early pregnancy serum metabolic profile in women with prediabetes at two years postpartum (2023)
- Metabolomics
(A1 Refereed original research article in a scientific journal) - Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action (2023)
- Frontiers in Microbiology
(A1 Refereed original research article in a scientific journal) - A toolbox of machine learning software to support microbiome analysis (2023)
- Frontiers in Microbiology
(A2 Refereed review article in a scientific journal ) - Author Correction: Greengenes2 unifies microbial data in a single reference tree (Nature Biotechnology, (2023), 10.1038/s41587-023-01845-1) (2023)
- Nature Biotechnology
(Other publication) - Dealing with dimensionality: the application of machine learning to multi-omics data (2023)
- Bioinformatics
(A2 Refereed review article in a scientific journal ) - Ebola epidemic model with dynamic population and memory (2023)
- Chaos, Solitons and Fractals
(A1 Refereed original research article in a scientific journal)