Leo Lahti is Adjunct Professor in applied mathematics at University of Turku, Finland. He obtained PhD in statistical machine learning and bioinformatics from Aalto University (2010), developing probabilistic methods for multi-omics data integration in human functional genomics. His current research focuses on population-level analyses of the human microbiome, aiming at a systems-level understanding on its composition, dynamics, function and manipulation. The research interests in this area cover a number of topics ranging from data processing to high-level analysis, visualization and biomedical application. Prior to his current position Finland, Dr. Lahti had a five-year postdoctoral period in leading European laboratories in this area, including European Bioinformatics Institute EBI (UK), Wageningen University (The Netherlands), and VIB/KU Leuven (Belgium).
Lahti has developed a variety of computational approaches for high-throughput data analysis and modeling, reported in 40+ peer reviewed publications, and 10+ scientific software packages. He is also an active proponent of open science and collaboration. In addition to research in computational biomedicine, he is doing research in emerging application areas, in particular digital humanities. For more information, see: http://www.iki.fi/Leo.Lahti