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
- Effects of Obesity and Exercise on Hepatic and Pancreatic Lipid Content and Glucose Metabolism : PET Studies in Twins Discordant for BMI (2024) Lietzén, Martin S.; Mari, Andrea; Ojala, Ronja; Hentilä, Jaakko; Koskensalo, Kalle; Lautamäki, Riikka; Löyttyniemi, Eliisa; Parkkola, Riitta; Saunavaara, Virva; Kirjavainen, Anna K.; Rajander, Johan; Malm, Tarja; Lahti, Leo; Rinne, Juha O.; Pietiläinen, Kirsi H.; Iozzo, Patricia; Hannukainen, Jarna C.
- Epidemic transmission modeling with fractional derivatives and environmental pathogens (2024)
- International Journal of Biomathematics
Khalighi, Moein; Ndaïrou, Faïçal; Lahti, Leo
- (2024)
- Nature Reviews Microbiology
Joos, Raphaela; Boucher, Katy; Lavelle, Aonghus; Arumugam, Manimozhiyan; Blaser, Martin J.; Claesson, Marcus J.; Clarke, Gerard; Cotter, Paul D.; De Sordi, Luisa; Dominguez-Bello, Maria G.; Dutilh, Bas E.; Ehrlich, Stanislav D.; Ghosh, Tarini Shankar; Hill, Colin; Junot, Christophe; Lahti, Leo; Lawley, Trevor D.; Licht, Tine R.; Maguin, Emmanuelle; Makhalanyane, Thulani P.; Marchesi, Julian R.; Matthijnssens, Jelle; Raes, Jeroen; Ravel, Jacques; Salonen, Anne; Scanlan, Pauline D.; Shkoporov, Andrey; Stanton, Catherine; Thiele, Ines; Tolstoy, Igor; Walter, Jens; Yang, Bo; Yutin, Natalia; Zhernakova, Alexandra; Zwart, Hub; Doré, Joël D.; Ross, R. Paul; Human Microbiome Action Consortium
- Fecal microbiota profiles of growing pigs and their relation to growth performance (2024) König, Emilia; Beasley, Shea; Heponiemi, Paulina; Kivinen, Sanni; Räkköläinen, Jaakko; Salminen, Seppo; Collado, Maria Carmen; Borman, Tuomas; Lahti, Leo; Piirainen, Virpi; Valros, Anna; Heinonen, Mari
- Fewer culturable Lactobacillaceae species identified in faecal samples of pigs performing manipulative behaviour (2024) König Emilia, Heponiemi Paulina, Kivinen Sanni, Räkköläinen Jaakko, Beasley Shea, Borman Tuomas, Collado Maria Carmen, Hukkinen Vilja, Junnila Jouni, Lahti Leo, Norring Marianna, Piirainen Virpi, Salminen Seppo, Heinonen Mari, Valros Anna
- Greengenes2 unifies microbial data in a single reference tree (2024) 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
- (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
- (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)
- ISME CommunicationsFrontiers in Microbiology
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 HistoryFrontiers in Microbiology
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 BMIAuthor Correction: Greengenes2 unifies microbial data in a single reference tree (Nature Biotechnology, (2023), 10.1038/s41587-023-01845-1)2024
- NutrientsNature Biotechnology
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 BiologyBioinformatics
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
- (2024)
- Journal of Oral MicrobiologyChaos, Solitons and Fractals
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) 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) 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.
- (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) Ndaïrou Faïçal, Khalighi Moein, Lahti Leo