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 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 strokeRegular 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)
- ISME CommunicationsNutrientsArteriosclerosis, Thrombosis, and Vascular Biology
- Print culture and economic constraints : A quantitative analysis of book prices in eighteenth-century Britain (2024)
- Explorations in Economic History
- (2024)
- Shotgun metagenomic analysis of the oral microbiome in gingivitis: a nested case-control study (2024)
- (2024)
- Journal of Oral MicrobiologyThe R journal
- Validating and Extracting Information from National Identification Numbers in R: The Case of Finland and SwedenAberrations in the early pregnancy serum metabolic profile in women with prediabetes at two years postpartum (2024)
- (2023)
- Metabolomics
- Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action2023
- Frontiers in microbiology



