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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Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action (2023)

Frontiers in Microbiology
D'Elia D, Truu J, Lahti L, Berland M, Papoutsoglou G, Ceci M, Zomer A, Lopes MB, Ibrahimi E, Gruca A, Nechyporenko A, Frohme M, Klammsteiner T, Pau ECS, Marcos-Zambrano LJ, Hron K, Pio G, Simeon A, Suharoschi R, Moreno-Indias I, Temko A, Nedyalkova M, Apostol ES, Truică CO, Shigdel R, Telalović JH, Bongcam-Rudloff E, Przymus P, Jordamović NB, Falquet L, Tarazona S, Sampri A, Isola G, Pérez-Serrano D, Trajkovik V, Klucar L, Loncar-Turukalo T, Havulinna AS, Jansen C, Bertelsen RJ, Claesson MJ
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

A toolbox of machine learning software to support microbiome analysis (2023)

Frontiers in Microbiology
Marcos-Zambrano L.J., López-Molina V.M., Bakir-Gungor B., Frohme M., Karaduzovic-Hadziabdic K., Klammsteiner T., Ibrahimi E., Lahti L., Loncar-Turukalo T., Dhamo X., Simeon A., Nechyporenko A., Pio G., Przymus P., Sampri A., Trajkovik V., Lacruz-Pleguezuelos B., Aasmets O., Araujo R., Anagnostopoulos I., Aydemir Ö., Berland M., Calle M.L., Ceci M., Duman H., Gündoğdu A., Havulinna A.S., Kaka Bra K.H.N., Kalluci E., Karav S., Lode D., Lopes M.B., May P., Nap B., Nedyalkova M., Paciência I., Pasic L., Pujolassos M., Shigdel R., Susín A., Thiele I., Truică C.O., Wilmes P., Yilmaz E., Yousef M., Claesson M.J., Truu J., Carrillo de Santa Pau E.
(Vertaisarvioitu katsausartikkeli tieteellisessä aikakauslehdessä (A2))

The gut microbiome is a significant risk factor for future chronic lung disease (2023)

Journal of Allergy and Clinical Immunology
Liu Y., Teo S.M., Méric G., Tang H.H.F., Zhu Q., Sanders J.G., Vázquez-Baeza Y., Verspoor K., Vartiainen V.A., Jousilahti P., Lahti L., Niiranen T., Havulinna A.S., Knight R., Salomaa V., Inouye M.
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Phylogeny-Aware Analysis of Metagenome Community Ecology Based on Matched Reference Genomes while Bypassing Taxonomy (2022)

MSystems
Zhu Qiyun, Huang Shi, Gonzalez Antonio, McGrath Imran, McDonald Daniel, Haiminen Niina, Armstrong George, Vázquez-Baeza Yoshiki, Yu Julian, Kuczynski Justin, Sepich-Poore Gregory D., Swafford Austin D., Das Promi, Shaffer Justin P., Lejzerowicz Franck, Belda-Ferre Pedro, Havulinna Aki S., Méric Guillaume, Niiranen Teemu, Lahti Leo, Salomaa Veikko, Kim Ho-Cheol, Jain Mohit, Inouye Michael, Gilbert Jack A., Knight Rob
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
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