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
- 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
(O2 Muu julkaisu ) - The gut microbiome is a significant risk factor for future chronic lung disease (2023)
- Journal of Allergy and Clinical Immunology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - The preterm gut microbiota and administration routes of different probiotics: a randomized controlled trial (2023)
- Pediatric ResearchNature Computational Science
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - What are patterns of rise and decline?FdeSolver: A Julia Package for Solving Fractional Differential Equations (2023)
- Royal Society Open SciencearXiv.org
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - An Infancy-Onset 20-Year Dietary Counselling Intervention and Gut Microbiota Composition in Adulthood (2022)
- Nutrients
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Can gut microbiota throughout the first 10 years of life predict executive functioning in childhood?Gut Microbiome Composition Is Predictive of Incident Type 2 Diabetes in a Population Cohort of 5,572 Finnish Adults (2022)
- Developmental PsychobiologyDiabetes Care
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Combined effects of host genetics and diet on human gut microbiota and incident disease in a single population cohort (2022)
- Nature Genetics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Comprehensive biomarker profiling of hypertension in 36 985 Finnish individuals (2022)
- Journal of HypertensionEmotion
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - COMPREHENSIVE BIOMARKER PROFILING OF HYPERTENSION IN 36,985 FINNISH INDIVIDUALSMulti-Trait Genetic Analysis Reveals Clinically Interpretable Hypertension Subtypes (2022)
- Journal of HypertensionCirculation: Genomic and Precision Medicine
(O2 Muu julkaisu ) - Distinct Diet-Microbiota-Metabolism Interactions in Overweight and Obese Pregnant Women: a Metagenomics Approach (2022)
- Microbiology spectrum
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Early prediction of incident liver disease using conventional risk factors and gut-microbiome-augmented gradient boosting (2022)
- Cell Metabolism
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Enhancing biomarkers with co-abundanceProbabilistic Multivariate Early Warning Signals (2022)
(B1 Vertaisarvioimaton kirjoitus tieteellisessä lehdessä ) - Quantifying the impact of ecological memory on the dynamics of interacting communities (2022)
(O2 Muu julkaisu ) - (2022)
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Infant fecal microbiota composition and attention to emotional faces (2022)
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - (2022)
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Phylogeny-Aware Analysis of Metagenome Community Ecology Based on Matched Reference Genomes while Bypassing Taxonomy (2022)
- MSystems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Potential pathobionts in vaginal microbiota are affected by fish oil and/or probiotics intervention in overweight and obese pregnant women (2022)
- Biomedicine and Pharmacotherapy
- 2022
- Lecture Notes in Computer Science
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - 2022
- PLoS Computational Biology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )



