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
- Assessing the safety of microbiome perturbations (2025)
- Microbial genomics
- Association of leisure time physical activity with gut microbiota composition in early adulthood (2025)
- Scientific Reports
- Associations between gut microbiome and circulating cytokines: a cross-sectional analysis in the FINRISK 2002 population cohort (2025)
- Gut Pathogens
- Associations of alcohol with the human gut microbiome and prospective health outcomes in the FINRISK 2002 cohort (2025)
- European Journal of Nutrition
- Chronological age estimation from human microbiomes with transformer-based Robust Principal Component Analysis (2025)
- Communications Biology
- Elementary methods provide more replicable results in microbial differential abundance analysis (2025)
- Briefings in Bioinformatics
- Fermented foods affect the seasonal stability of gut bacteria in an Indian rural population (2025)
- Nature Communications
- Fractional modelling of COVID-19 transmission incorporating asymptomatic and super-spreader individuals (2025)
- Mathematical Biosciences
- Gender differences in global antimicrobial resistance (2025)
- npj biofilms and microbiomes
- Gut Microbiome as a Risk Factor for Future CKD (2025)
- Kidney International Reports
- Gut microbiome-derived bacterial extracellular vesicles in patients with solid tumours (2025)
- Journal of Advanced Research
- Gut microbiota-derived extracellular vesicles form a distinct entity from gut microbiota (2025)
- MSystems
- iSEEtree: interactive explorer for hierarchical data (2025)
- Bioinformatics Advances
- Learning and teaching biological data science in the Bioconductor community (2025)
- PLoS Computational Biology
- Links between gut microbiota with specific serum metabolite groups in pregnant women with overweight or obesity (2025)
- Nutrition, Metabolism and Cardiovascular Diseases
- Maternal pre- and postnatal stress and maternal and infant gut microbiota features (2025)
- Psychoneuroendocrinology
- Perinatal depressive and anxiety symptoms are associated with gut microbiota in pregnant women with overweight and obesity (2025)
- Brain, Behavior, & Immunity - Health
- Skin microbiota variation in Indian families (2025)
- PeerJ
- Variation and prognostic potential of the gut antibiotic resistome in the FINRISK 2002 cohort (2025)
- Nature Communications
- A cohort study in family triads : impact of gut microbiota composition and early life exposures on intestinal resistome during the first two years of life (2024)
- Gut Microbes