Leo Lahti profile picture
Leo
Lahti
Associate Professor, Data-analytiikka
Associate Professor

Contact

+358 29 450 2390
+358 50 436 4626

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 associate professor in Data Science in University of Turku, Finland. His research team focuses on algorithmic techniques that bridge the gap between the theory and practice of modern scientific data analysis. The applications range from human microbiome research to computational history and open government data analytics. Lahti obtained doctoral degree (DSc) in statistical machine learning and bioinformatics from Aalto University in Finland (2010), developing probabilistic data integration methods for high-throughput life science data. 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, including e.g. the COST action on statistical and machine learning methods in microbiome studies, and organizes international training events on a regular basis. He is a 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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Taxonomic signatures of cause-specific mortality risk in human gut microbiome (2021)

Nature Communications
Salosensaari, Aaro, Laitinen Ville, Havulinna Aki S., Meric Guillaume, Cheng Susan, Perola Markus, Valsta Liisa, Alfthan Georg, Inouye Michael, Watrous Jeramie D., Long Tao, Salido Rodolfo A., Sanders Karenina, Brennan Caitriona, Humphrey Gregory C., Sanders Jon G., Jain Mohit, Jousilahti Pekka, Salomaa Veikko, Knight Rob, Lahti Leo, Niiranen Teemu
(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment (2021)

Frontiers in Microbiology
Marcos-Zambrano LJ, Karaduzovic-Hadziabdic K, Turukalo TL, Przymus P, Trajkovik V, Aasmets O, Berland M, Gruca A, Hasic J, Hron K, Klammsteiner T, Kolev M, Lahti L, Lopes MB, Moreno V, Naskinova I, Org E, Paciencia I, Papoutsoglou G, Shigdel R, Stres B, Vilne B, Yousef M, Zdravevski E, Tsamardinos I, Pau ECD, Claesson MJ, Moreno-Indias I, Truu J; on behalf of ML4Microbiome
(A2 Katsausartikkeli tieteellisessä aikauslehdessä)

Systemic cross-talk between brain, gut, and peripheral tissues in glucose homeostasis: effects of exercise training (CROSSYS). Exercise training intervention in monozygotic twins discordant for body weight (2021)

BMC sports science, medicine and rehabilitation
Heiskanen Marja A, Honkala Sanna M, Hentilä Jaakko, Ojala Ronja, Lautamäki Riikka, Koskensalo Kalle, Lietzen Martin S, Saunavaara Virva, Saunavaara Jani, Helmiö Mika, Löyttyniemi Eliisa, Nummenmaa Lauri, Collado Maria C, Malm Tarja, Lahti Leo, Pietiläinen Kirsi H, Kaprio Jaakko, Rinne Juha O, Hannukainen Jarna C
(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)