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
- Microbiome Yarns: human biome reproduction, evolution and visual acuity (2018)
- Microbial Biotechnology
- Open Data Science (2018)
- Lecture Notes in Computer Science
- Opening academic publishing - Development and application of systematic evaluation criteria (2018) Anna Björk, Juho-Matti Paavola, Teemu Ropponen, Mikael Laakso, Leo Lahti
- Signatures of ecological processes in microbial community time series (2018)
- Microbiome
- Stability estimation of autoregulated genes under Michaelis-Menten-type kinetics (2018)
- Physical review E
- Stool Microbiota Composition Differs in Patients with Stomach, Colon, and Rectal Neoplasms (2018)
- Digestive Diseases and Sciences
- Alchemy & algorithms: perspectives on the philosophy and history of open science (2017)
- Research Ideas and Outcomes
- Comparative gut microbiota and resistome profiling of intensive care patients receiving selective digestive tract decontamination and healthy subjects (2017)
- Microbiome
- Intestinal microbiome landscaping: insight in community assemblage and implications for microbial modulation strategies (2017)
- FEMS Microbiology Reviews
- Linking Statistical and Ecological Theory: Hubbell's Unified Neutral Theory of Biodiversity as a Hierarchical Dirichlet Process (2017)
- Proceedings of the IEEE
- Multi-stability and the origin of microbial community types (2017)
- ISME Journal
- Retrieval and Analysis of Eurostat Open Data with the eurostat Package (2017)
- The R journal