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
- LimROTS: A Hybrid Method Integrating Empirical Bayes and Reproducibility-Optimized Statistics for Robust Differential Expression Analysis (2025)
- Bioinformatics
- Links between gut microbiota with specific serum metabolite groups in pregnant women with overweight or obesity (2025)
- Nutrition, Metabolism and Cardiovascular Diseases
- (2025)
- PsychoneuroendocrinologyDiabetes, Obesity and Metabolism
- Multi-omics time-series analysis in microbiome research: a systematic reviewOral Microbial Determinants of Saliva and Serum Lipopolysaccharide Activity (2025)
- Briefings in Bioinformatics
- Obesity is associated with increased brain glucose uptake and activity but not neuroinflammation (TSPO availability) in monozygotic twin pairs discordant for BMI—Exercise training reverses increased brain activity (2025)
- (2025)
- Journal of Dental Research
- Perinatal depressive and anxiety symptoms are associated with gut microbiota in pregnant women with overweight and obesity (2025)
- Brain, Behavior, & Immunity - HealthAnthology of Computers and the Humanities
- Prospective association between the gut microbiota and incident pneumonia: a cohort study of 6419 individualsSkin microbiota variation in Indian families (2025)
- Respiratory ResearchPeerJ
- Robust Modelling of Ordinal Survey Data Using Probabilistic Programming (2025)
- (2025)



