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
- Gut microbiome and atrial fibrillation: results from a large population-based study (2023)
- EBioMedicine
- Gut microbiota composition and function in pregnancy as determinants of prediabetes at two-year postpartum (2023)
- Acta Diabetologica
- Impacts of maternal microbiota and microbial metabolites on fetal intestine, brain, and placenta (2023)
- BMC Biology
- Machine learning approaches in microbiome research: challenges and best practices (2023)
- Frontiers in Microbiology
- Maternal microbiota communicates with the fetus through microbiota-derived extracellular vesicles (2023)
- Microbiome
- miaSim: an R/Bioconductor package to easily simulate microbial community dynamics (2023)
- Methods in Ecology and Evolution
- Microbiome-based risk prediction in incident heart failure: a community challenge (2023) Erawijantari PP, Kartal E, Liñares-Blanco J, Laajala TD, Feldman LE, Carmona-Saez P, Shigdel R, Claesson MJ, Bertelsen RJ, Gomez-Cabrero D, Minot S, Albrecht J, Chung V, Inouye M, Jousilahti P, Schultz JH, Friederich HC, Knight R, Salomaa V, Niiranen T, Havulinna AS, Saez-Rodriguez J, Levinson RT, Lahti L; FINRISK Microbiome DREAM Challenge and ML4 Microbiome Communities
- The gut microbiome is a significant risk factor for future chronic lung disease (2023)
- Journal of Allergy and Clinical Immunology
- The preterm gut microbiota and administration routes of different probiotics: a randomized controlled trial (2023)
- Pediatric Research
- What are patterns of rise and decline? (2023)
- Royal Society Open Science
- An Infancy-Onset 20-Year Dietary Counselling Intervention and Gut Microbiota Composition in Adulthood (2022)
- Nutrients
- Can gut microbiota throughout the first 10 years of life predict executive functioning in childhood? (2022)
- Developmental Psychobiology
- Combined effects of host genetics and diet on human gut microbiota and incident disease in a single population cohort (2022)
- Nature Genetics
- Comprehensive biomarker profiling of hypertension in 36 985 Finnish individuals (2022)
- Journal of Hypertension
- COMPREHENSIVE BIOMARKER PROFILING OF HYPERTENSION IN 36,985 FINNISH INDIVIDUALS (2022)
- Journal of Hypertension
- Distinct Diet-Microbiota-Metabolism Interactions in Overweight and Obese Pregnant Women: a Metagenomics Approach (2022)
- Microbiology spectrum
- Early prediction of incident liver disease using conventional risk factors and gut-microbiome-augmented gradient boosting (2022)
- Cell Metabolism
- Enhancing biomarkers with co-abundance (2022)
- Nature Computational Science
- FdeSolver: A Julia Package for Solving Fractional Differential Equations (2022)
- arXiv.org
- Gut Microbiome Composition Is Predictive of Incident Type 2 Diabetes in a Population Cohort of 5,572 Finnish Adults (2022)
- Diabetes Care