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))

Microbiome-based risk prediction in incident heart failure: a community challenge (2023)

Erawijantari PP, Kartal E, Liñares-Blanco J, Laajala TD, Feldman LE, Carmona-Saez P, Shigdel R, Claesson MJ, Bertelsen RJ, Gomez-Cabrero D, Minot S, Albrecht J, Chung V, Inouye M, Jousilahti P, Schultz JH, Friederich HC, Knight R, Salomaa V, Niiranen T, Havulinna AS, Saez-Rodriguez J, Levinson RT, Lahti L; FINRISK Microbiome DREAM Challenge and ML4 Microbiome Communities
(O2 Muu julkaisu )

Bone marrow metabolism is affected by body weight and response to exercise training varies according to anatomical location (2023)

Diabetes, Obesity and Metabolism
Ojala R, Hentilä J, Lietzén MS, Arponen M, Heiskanen MA, Honkala SM, Virtanen H, Koskensalo K, Lautamäki R, Löyttyniemi E, Parkkola R, Heinonen OJ, Malm T, Lahti L, Rinne J, Eskola O, Rajander J, Pietiläinen KH, Kaprio J, Ivaska KK, Hannukainen JC
(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))

Greengenes2 unifies microbial data in a single reference tree (2023)

Nature Biotechnology
McDonald Daniel, Jiang Yueyu, Balaban Metin, Cantrell Kalen, Zhu Qiyun, Gonzalez Antonio, Morton James T., Nicolaou Giorgia, Parks Donovan H., Karst Søren M., Albertsen Mads, Hugenholtz Philip, DeSantis Todd, Song Se Jin, Bartko Andrew, Havulinna Aki S., Jousilahti Pekka, Cheng Susan, Inouye Michael, Niiranen Teemu, Jain Mohit, Salomaa Veikko, Lahti Leo, Mirarab Siavash, Knight Rob
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Maternal microbiota communicates with the fetus through microbiota-derived extracellular vesicles (2023)

Microbiome
Kaisanlahti Anna, Turunen Jenni, Byts Nadiya, Samoylenko Anatoliy, Bart Genevieve, Virtanen Nikke, Tejesvi V. Mysore, Zhyvolozhnyi Artem, Sarfraz Sonia, Kumpula Sohvi, Hekkala Jenni, Salmi Sonja, Will Olga, Korvala Johanna, Paalanne Niko, Erawijantari Putu Pande, Suokas Marko, Medina Peñate Tuula, Vainio Seppo, Medina Peñate Oula, Lahti Leo, Tapiainen Terhi, Reunanen Justus
(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))
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