Leo Lahti profile picture
Leo
Lahti
Professor, Data analytics
Professor

Contact

+358 29 450 2390
+358 50 436 4626
Vesilinnantie 5
20500
Turku

Areas of expertise

Data science
AI
Machine Learning
Applied statistics
Statistical programming
Probabilistic models
Complex natural and social systems
Microbial ecology
Computational humanities
Open knowledge

Biography

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

Teaching

Computational and data science, statistical and probabilistic programming, machine learning, AI, applied statistics, ecological models, open science

Research

Computational scientist focusing on change in complex natural and social systems, and how they can be understood through a computational lens.

Publications

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Infant fecal microbiota composition and attention to emotional faces (2020)

Emotion
Aatsinki Anna K, Kataja Eeva-Leena, Munukka Eveliina, Lahti Leo, Keskitalo Anniina, Korja Riikka, Nolvi Saara, Häikiö Tuomo, Tarro Saija, Karlsson Hasse, Karlsson Linnea
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Scaling up bibliographic data science (2019)

Digital Humanities in the Nordic Countries, CEUR Workshop Proceedings
Tolonen M., Marjanen J., Roivainen H., Lahti L.
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))