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
- Diet, perceived intestinal well-being and compositions of fecal microbiota and short chain fatty acids in oat-using subjects with celiac disease or gluten sensitivity (2020)
- NutrientsJournal of European Periodical Studies
- (2020)
- Journal of the American Heart AssociationHistorical Methods: A Journal of Quantitative and Interdisciplinary History
- Gut Microbiota and Host Gene Mutations in Colorectal Cancer Patients and Controls of Iranian and Finnish Origin (2020)
- Anticancer Research
- Intestinal microbiota analysis supports inclusion of gluten-free oats to diet of subjects with celiac disease or gluten sensitivity (2020)
- Proceedings of the Nutrition SocietyBrain, Behavior, and Immunity
- Maternal prenatal psychological distress and hair cortisol levels associate with infant fecal microbiota composition at 2.5 months of age (2020)
- PsychoneuroendocrinologyData Dialogues
- Partial restoration of normal intestinal microbiota in morbidly obese women six months after bariatric surgery (2020)
- PeerJ
- Prebiotic Xylo-Oligosaccharides Ameliorate High-Fat-Diet-Induced Hepatic Steatosis in Rats (2020)
- Nutrients
- Quantifying bias and uncertainty in historical data collections with probabilistic programming (2020)
- CEUR Workshop Proceedings
- Unsupervised hierarchical clustering identifies a metabolically challenged subgroup of hypertensive individuals (2020)
- Journal of Clinical Hypertension
- Wrangling with non-standard data (2020)
- CEUR Workshop Proceedings
- Analytical determination of editions from bibliographic metadata (2019)
- Studia Humaniora Ouluensia
- A National Public Sphere? Analyzing the Language, Location, and Form of Newspapers in Finland, 1771–1917 (2019)
- A Quantitative Approach to Book-Printing in Sweden and Finland, 1640–1828 (2019)
- Best practices in bibliographic data science (2019)
- Studia Humaniora Ouluensia
- Bibliographic Data Science and the History of the Book (c. 1500–1800) (2019)
- Cataloging and Classification Quarterly
- Gut microbiota composition is associated with temperament traits in infants (2019)
- Integrating open science in the humanities: the case of computational history (2019)
- Interdisciplinary collaboration in studying newspaper materiality (2019)
- CEUR Workshop Proceedings
- Microbial communities in a dynamic in vitro model for the human ileum resemble the human ileal microbiota (2019)
- FEMS Microbiology Ecology
- Microbiome data science (2019)
- Journal of Biosciences



