Harri Lähdesmäki
Department of Computer Science

Harri Lähdesmäki

Professor (Associate Professor)

Contact information

Postal address
Aalto SCI Computer Science Konemiehentie 2
Mobile phone
+358504132690
Full researcher profile
https://research.aalto.fi/...

Areas of expertise

Bioinformatics Computational systems biology Machine learning Probabilistic modelling Data mining

Honors and awards

Award or honor granted for a specific work
Department of Computer Science
Nov 2010

The first position in the 5th Dialogue for Reverse Engineering Assessments and Methods (DREAM) Transcription-Factor/DNA-Motif Recognition Challenge, 2010, presented in New York

Award or honor granted for a specific work
Department of Computer Science
Jan 2013

Elias Tillandz prize 2013 for article Hawkins RD, Larjo A, Tripathi SK, Wagner U, Luu Y, Lönnberg T, Raghav SK, Lee LK, Lund R, Ren B, Lähdesmäki H, Lahesmaa R, "Global Chromatin State Analysis Reveals Lineage-Specifc Enhancers during the Initiation of Human T helper 1 and T helper 2 Cell Polarization," Immunity, Vol. 38, No. 6, pp. 1271-1284, 2013

Award or honor granted for a specific work
Department of Computer Science
Jan 2012

Elias Tillandz prize 2012 for article Närvä E, Rahkonen N, Emani MR, Lund R, Pursiheimo J-P, Nästi J, Autio R, Rasool O, Denessiouk K, Lähdesmäki H, Rao A, Lahesmaa R, "RNA binding protein L1TD1 interacts with LIN28 via RNA and is required for human embryonic stem cell self-renewal and cancer cell proliferation," Stem Cells, Vol. 30, No. 3, pp. 452-460, 2012.

Award or honor granted for a specific work
Department of Computer Science
Jan 2008

IARIA Best Paper Award for our paper Dai, X., Lähdesmäki, H. and Yli-Harja, O., "sBGMM: a stratified Beta-Gaussian mixture model for clustering genes with multiple data sources," In International Conference on Biocomputation, Bioinformatics, and Biomedical Technologies, BIOTECHNO 2008, Bucharest, Romania, June 29 - July 5, 2008

Award or honor granted for a specific work
Department of Computer Science
Jan 2005

Tampere Science Foundation award for the best doctoral thesis

Research groups

Professorship Lähdesmäki H., Professor (Associate Professor)
Helsinki Institute for Information Technology HIIT

Publications

Department of Computer Science, Professorship Lähdesmäki H., Centre of Excellence in Molecular Systems Immunology and Physiology Research Group, SyMMys, Helsinki Institute for Information Technology HIIT

Early detection of peripheral blood cell signature in children developing β-cell autoimmunity at a young age

Publishing year: 2019 DIABETES
Centre of Excellence in Molecular Systems Immunology and Physiology Research Group, SyMMys, Professorship Lähdesmäki H., Department of Computer Science, Finnish Center for Artificial Intelligence, Probabilistic Machine Learning, Helsinki Institute for Information Technology HIIT, Professorship Kaski S., Centre of Excellence in Computational Inference, COIN, Professorship Rousu J.

Bayesian metabolic flux analysis reveals intracellular flux couplings

Publishing year: 2019 Bioinformatics
Department of Computer Science, Centre of Excellence in Molecular Systems Immunology and Physiology Research Group, SyMMys, Professorship Lähdesmäki H., Centre of Excellence in Computational Inference, COIN, Probabilistic Machine Learning, Helsinki Institute for Information Technology HIIT, Professorship Vehtari A.

An additive Gaussian process regression model for interpretable non-parametric analysis of longitudinal data

Publishing year: 2019 Nature Communications
Professorship Kaski S., Department of Computer Science, Centre of Excellence in Molecular Systems Immunology and Physiology Research Group, SyMMys, Professorship Lähdesmäki H., Helsinki Institute for Information Technology HIIT, Probabilistic Machine Learning, Centre of Excellence in Computational Inference, COIN

Deep learning with differential Gaussian process flows

Publishing year: 2019 The 22nd International Conference on Artificial Intelligence and Statistic
Centre of Excellence in Molecular Systems Immunology and Physiology Research Group, SyMMys, Professorship Lähdesmäki H., Department of Computer Science, Helsinki Institute for Information Technology HIIT

A Mathematical Model for Enhancer Activation Kinetics During Cell Differentiation

Publishing year: 2019 Algorithms for Computational Biology - 6th International Conference, AlCoB 2019, Proceedings
Professorship Lähdesmäki H., Centre of Excellence in Molecular Systems Immunology and Physiology Research Group, SyMMys, Department of Computer Science, School services, SCI, Helsinki Institute for Information Technology HIIT

ODE2VAE: Deep generative second order ODEs with Bayesian neural networks

Publishing year: 2019 NeurIPS
Centre of Excellence in Molecular Systems Immunology and Physiology Research Group, SyMMys, Professorship Lähdesmäki H., Department of Computer Science, Helsinki Institute for Information Technology HIIT

Genomic variation and strain-specific functional adaptation in the human gut microbiome during early life

Publishing year: 2018 Nature Microbiology
Centre of Excellence in Computational Inference, COIN, Professorship Lähdesmäki H., Centre of Excellence in Molecular Systems Immunology and Physiology Research Group, SyMMys, Department of Computer Science, Professorship Vehtari A., Helsinki Institute for Information Technology HIIT, Probabilistic Machine Learning

Characterization and non-parametric modeling of the developing serum proteome during infancy and early childhood

Publishing year: 2018 Scientific Reports
Centre of Excellence in Molecular Systems Immunology and Physiology Research Group, SyMMys, Professorship Lähdesmäki H., Department of Computer Science, Helsinki Institute for Information Technology HIIT

snpEnrichR

Publishing year: 2018 Bioinformatics (Oxford, England)
Helsinki Institute for Information Technology HIIT, Centre of Excellence in Molecular Systems Immunology and Physiology Research Group, SyMMys, Professorship Lähdesmäki H., Department of Computer Science

The human gut microbiome in early-onset type 1 diabetes from the TEDDY study

Publishing year: 2018 Nature