Leo Lahti
Professor
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
- Infant gut microbiota and negative and fear reactivity (2024)
- Development and Psychopathology
Huovinen Venla, Aatsinki Anna-Katariina, Kataja Eeva-Leena, Munukka Eveliina, Keskitalo Anniina, Lamichhane Santosh, Raunioniemi Peppi, Bridgett David J., Lahti Leo, O’Mahony Siobhain M., Dickens Alex, Korja Riikka, Karlsson Hasse, Nolvi Saara, Karlsson Linnea
- Integration of polygenic and gut metagenomic risk prediction for common diseases (2024) 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
- Microbiome confounders and quantitative profiling challenge predicted microbial targets in colorectal cancer development (2024) Tito Raúl Y., Verbandt Sara, Aguirre Vazquez Marta, Lahti Leo, Verspecht Chloe, Lloréns-Rico Verónica, Vieira-Silva Sara, Arts Janine, Falony Gwen, Dekker Evelien, Reumers Joke, Tejpar Sabine, Jeroen Raes
- Multikingdom oral microbiome interactions in early-onset cryptogenic ischemic stroke (2024) Manzoor, Muhammed; Leskelä, Jaakko; Pietiäinen, Milla; Martinez-Majander, Nicolas; Ylikotila, Pauli; Könönen, Eija; Niiranen, Teemu; Lahti, Leo; Sinisalo, Juha; Putaala, Jukka; Pussinen, Pirkko J; Paju, Susanna
- Print culture and economic constraints : A quantitative analysis of book prices in eighteenth-century Britain (2024)
- Explorations in Economic History
Tiihonen, Iiro; Lahti, Leo; Tolonen, Mikko
- Regular Exercise Training Induces More Changes on Intestinal Glucose Uptake from Blood and Microbiota Composition in Leaner Compared to Heavier Individuals in Monozygotic Twins Discordant for BMI (2024) Lietzén, Martin S.; Guzzardi, Maria Angela; Ojala, Ronja; Hentilä, Jaakko; Heiskanen, Marja A.; Honkala, Sanna M.; Lautamäki, Riikka; Löyttyniemi, Eliisa; Kirjavainen, Anna K.; Rajander, Johan; Malm, Tarja; Lahti, Leo; Rinne, Juha O.; Pietiläinen, Kirsi H.; Iozzo, Patricia; Hannukainen, Jarna C.
- 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
- Shotgun metagenomic analysis of the oral microbiome in gingivitis: a nested case-control study (2024)
- Journal of Oral Microbiology
Manzoor Muhammed, Leskelä Jaakko, Pietiäinen Milla, Martinez-Majander Nicolas, Könönen Eija, Niiranen Teemu, Lahti Leo, Sinisalo Juha, Putaala Jukka, Pussinen Pirkko J, Paju Susanna
- Aberrations in the early pregnancy serum metabolic profile in women with prediabetes at two years postpartum (2023) Muhli Ella, Benchraka Chouaib, Lotankar Mrunalini, Houttu Noora, Niinikoski Harri, Lahti Leo, Laitinen Kirsi
- 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
- 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.
- Author Correction: Greengenes2 unifies microbial data in a single reference tree (Nature Biotechnology, (2023), 10.1038/s41587-023-01845-1) (2023) McDonald D., Jiang Y., Balaban M., Cantrell K., Zhu Q., Gonzalez A., Morton J.T., Nicolaou G., Parks D.H., Karst S.M., Albertsen M., Hugenholtz P., DeSantis T., Song S.J., Bartko A., Havulinna A.S., Jousilahti P., Cheng S., Inouye M., Niiranen T., Jain M., Salomaa V., Lahti L., Mirarab S., Knight R.
- Dealing with dimensionality: the application of machine learning to multi-omics data (2023) Feldner-Busztin Dylan, Nisantzis Panos F., Edmunds Shelley J., Boza Gergely, Racimo Fernando, Gopalakrishnan Shyam, Limborg Morten T., Lahti Leo, de Polavieja Gonzalo G.
- Ebola epidemic model with dynamic population and memory (2023)
- Chaos, Solitons and Fractals
Ndaïrou Faïçal, Khalighi Moein, Lahti Leo
- Gut microbiome and atrial fibrillation: results from a large population-based study (2023) Palmu Joonatan, Börschel Christin S., Ortega-Alonso Alfredo, Markó Lajos, Inouye Michael, Jousilahti Pekka, Salido Rodolfo A., Sanders Karenina, Brennan Caitriona, Humphrey Gregory C., Sanders Jon G., Gutmann Friederike, Linz Dominik, Salomaa Veikko, Havulinna Aki S., Forslund Sofia K., Knight Rob, Lahti Leo, Niiranen Teemu, Schnabel Renate B.
- Gut microbiota composition and function in pregnancy as determinants of prediabetes at two-year postpartum (2023) Houttu Noora, Benchraka Chouaib, Lotankar Mrunalini, Muhli Ella, Niinikoski Harri, Lahti Leo, Laitinen Kirsi
- Impacts of maternal microbiota and microbial metabolites on fetal intestine, brain, and placenta (2023) Husso Aleksi, Pessa-Morikawa Tiina, Koistinen Ville Mikael, Kärkkäinen Olli, Kwon Hyuk Nam, Lahti Leo, Iivanainen Antti, Hanhineva Kati, Niku Mikael
- 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
- Maternal microbiota communicates with the fetus through microbiota-derived extracellular vesicles (2023) 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
- miaSim: an R/Bioconductor package to easily simulate microbial community dynamics (2023)
- Methods in Ecology and Evolution
Gao Yu, Şimşek Yağmur, Gheysen Emma, Borman Tuomas, Li Yi, Lahti Leo, Faust Karoline, Garza Daniel Rios
