Leo Lahti
Professor
leo.lahti@utu.fi +358 29 450 2390 +358 50 436 4626 Vesilinnantie 5 Turku : 452E |
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
- Association of Long-Term Habitual Dietary Fiber Intake since Infancy with Gut Microbiota Composition in Young Adulthood (2024)
- Journal of Nutrition
- Associations between gut microbiota and incident fractures in the FINRISK cohort (2024)
- npj biofilms and microbiomes
- Bone marrow metabolism is affected by body weight and response to exercise training varies according to anatomical location (2024)
- Diabetes, Obesity and Metabolism
- Daily skin-to-skin contact alters microbiota development in healthy full-term infants (2024)
- Gut Microbes
- Effects of Obesity and Exercise on Hepatic and Pancreatic Lipid Content and Glucose Metabolism : PET Studies in Twins Discordant for BMI (2024)
- Biomolecules
- Epidemic transmission modeling with fractional derivatives and environmental pathogens (2024)
- International Journal of Biomathematics
- Examining the healthy human microbiome concept (2024)
- Nature Reviews Microbiology
- Fecal microbiota profiles of growing pigs and their relation to growth performance (2024)
- PLoS ONE
- Fewer culturable Lactobacillaceae species identified in faecal samples of pigs performing manipulative behaviour (2024)
- Scientific Reports
- Greengenes2 unifies microbial data in a single reference tree (2024)
- Nature Biotechnology
- Infant gut microbiota and negative and fear reactivity (2024)
- Development and Psychopathology
- Integration of polygenic and gut metagenomic risk prediction for common diseases (2024)
- Nature Aging
- LimROTS Bioconductor software package (2024) Youssef, Ali; Jeba, Akewak; Lahti, Leo; Coffey, Eleanor
- Microbiome confounders and quantitative profiling challenge predicted microbial targets in colorectal cancer development (2024)
- Nature Medicine
- Multikingdom oral microbiome interactions in early-onset cryptogenic ischemic stroke (2024)
- ISME Communications
- Print culture and economic constraints : A quantitative analysis of book prices in eighteenth-century Britain (2024)
- Explorations in Economic History
- 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
- 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
- Shotgun metagenomic analysis of the oral microbiome in gingivitis: a nested case-control study (2024)
- Journal of Oral Microbiology
- Validating and Extracting Information from National Identification Numbers in R: The Case of Finland and Sweden (2024)
- The R journal



