Leo Lahti profile picture
Leo
Lahti
Professor, Data analytics
Professor

Contact

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

Links

Research homepage
CV_Lahti_TENK.pdf
ORCID

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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Integration of polygenic and gut metagenomic risk prediction for common diseases (2024)

Nature Aging
Liu Yang, Ritchie Scott C., Teo Shu Mei, Ruuskanen Matti O., Kambur Oleg, Zhu Qiyun, Sanders Jon, Vázquez-Baeza Yoshiki, Verspoor Karin, Jousilahti Pekka, Lahti Leo, Niiranen Teemu, Salomaa Veikko, Havulinna Aki S., Knight Rob, Méric Guillaume, Inouye Michael
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Role of Gut Microbiota in Statin-Associated New-Onset Diabetes—a Cross-Sectional and Prospective Analysis of the FINRISK 2002 Cohort (2024)

Arteriosclerosis, Thrombosis, and Vascular Biology
Koponen Kari, Kambur Oleg, Joseph Bijoy, Ruuskanen Matti O, Jousilahti Pekka, Salido Rodolfo, Brennan Caitriona, Jain Mohit, Meric Guillaume, Inouye Michael, Lahti Leo, Niiranen Teemu, Havulinna Aki S, Knight Rob, Salomaa Veikko
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Gut microbiome and atrial fibrillation—results from a large population-based study (2023)

EBioMedicine
Palmu J., Börschel C.S., Ortega-Alonso A., Markó L., Inouye M., Jousilahti P., Salido R.A., Sanders K., Brennan C., Humphrey G.C., Sanders J.G., Gutmann F., Linz D., Salomaa V., Havulinna A.S., Forslund S.K., Knight R., Lahti L., Niiranen T., Schnabel R.B.
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Machine learning approaches in microbiome research: challenges and best practices (2023)

Frontiers in Microbiology
Papoutsoglou Georgios, Tarazona Sonia, Lopes Marta B., Klammsteiner Thomas, Ibrahimi Eliana, Eckenberger Julia, Novielli Pierfrancesco, Tonda Alberto, Simeon Andrea, Shigdel Rajesh, Béreux Stéphane, Vitali Giacomo, Tangaro Sabina, Lahti Leo, Temko Andriy, Claesson Marcus J., Berland Magali
(Vertaisarvioitu katsausartikkeli tieteellisessä aikakauslehdessä (A2))

What are patterns of rise and decline? (2023)

Royal Society Open Science
Raulo Aura, Rojas Alexis, Kröger Björn, Laaksonen Antti, Orta Carlos Lamuela, Nurmio Silva, Peltoniemi Mirva, Lahti Leo, Žliobaitė Indrė
(Vertaisarvioitu katsausartikkeli tieteellisessä aikakauslehdessä (A2))
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