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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Early prediction of incident liver disease using conventional risk factors and gut-microbiome-augmented gradient boosting (2022)

Cell Metabolism
Liu Yang, Méric Guillaume, Havulinna Aki S, Teo Shu Mei, Åberg Fredrik, Ruuskanen Matti, Sanders Jon, Zhu Qiyun, Tripathi Anupriya, Verspoor Karin, Cheng Susan, Jain Mohit, Jousilahti Pekka, Vázquez-Baeza Yoshiki, Loomba Rohit, Lahti Leo, Niiranen Teemu, Salomaa Veikko, Knight Rob, Inouye Michael
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions (2021)

Frontiers in Microbiology
Moreno-Indias Isabel, Lahti Leo, Nedyalkova Miroslava, Elbere Ilze, Roshchupkin Gennady, Adilovic Muhamed, Aydemir Onder, Bakir-Gungor Burcu, Pau Enrico Carrillo De, D'Elia Domenica, Desai Mahesh S, Falquet Laurent, Gundogdu Aycan, Hron Karel, Klammsteiner Thomas, Lopes Marta B, Marcos-Zambrano Laura Judith, Marques Cláudia, Mason Michael, May Patrick, Pasic Lejla, Pio Gianvito, Pongor Sándor, Promponas Vasilis J, Przymus Piotr, Saez-Rodriguez Julio, Sampri Alexia, Shigdel Rajesh, Stres Blaz, Suharoschi Ramona, Truu Jaak, Truica Ciprian-Octavian, Vilne Baiba, Vlachakis Dimitrios, Yilmaz Ercument, Zeller Georg, Zomer Aldert L, Gómez-Cabrero D, Claesson Marcus J; on behalf of ML4Microbiome
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Probabilistic early warning signals (2021)

Ecology and Evolution
Laitinen Ville, Dakos Vasilis, Lahti Leo
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
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