Organization profile

Profile Information

The overall objective of the CoE is to understand the molecular mechanisms that control the immune system as well as the interactions between the immune system and other physiological systems in health and disease. This information may help in prevention and treatment of inflammatory and immune-mediated disorders. The CoE will focus especially on type 1 diabetes. Along the way, the research will generate new knowledge of the role of metabolism in early stages of autoimmune diseases as well as reveal novel molecular mechanisms.

The Centre of Excellence (CoE) is directed by Professor Mikael Knip from the University of Helsinki. Professor Harri Lähdesmäki from the Aalto University School of Science is leading the research group in the CoE.

Fingerprint Dive into the research topics where Centre of Excellence in Molecular Systems Immunology and Physiology Research Group, SyMMys is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

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Profiles

Lu Cheng

lu.cheng@aalto.fi

Centre of Excellence in Computational Inference, COIN - Postdoctoral Researcher
Professorship Lähdesmäki H. - Academy Research Fellow
Centre of Excellence in Molecular Systems Immunology and Physiology Research Group, SyMMys
Department of Computer Science

Person: Postdoctoral researchers, Visiting Scholar

Viivi Halla-aho

viivi.halla-aho@aalto.fi

Professorship Lähdesmäki H. - Doctoral Candidate
Centre of Excellence in Molecular Systems Immunology and Physiology Research Group, SyMMys
School services, SCI
Department of Computer Science - Doctoral Candidate

Person: Doctoral students, Doctoral studies

Markus Heinonen

markus.o.heinonen@aalto.fi

Professorship Lähdesmäki H. - Research Fellow
Centre of Excellence in Molecular Systems Immunology and Physiology Research Group, SyMMys
Department of Computer Science - Research Fellow

Person: Postdoctoral researchers, Other teaching and research staff

Research Output

70 Article
14 Conference contribution
3 Meeting Abstract
2 Chapter
7 More

A personalised approach for identifying disease-relevant pathways in heterogeneous diseases

Somani, J., Ramchandran, S. & Lähdesmäki, H., 1 Dec 2020, In : npj Systems Biology and Applications. 6, 1, 17.

Research output: Contribution to journal › Article › Scientific › peer-review

Open Access

File

Deep Convolutional Gaussian Processes

Blomqvist, K., Kaski, S. & Heinonen, M., 1 Jan 2020, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings. Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M. & Robardet, C. (eds.). SPRINGER , p. 582-597 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11907 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Learning spectrograms with convolutional spectral kernels

Shen, Z., Heinonen, M. & Kaski, S., 2020, (Accepted/In press) The 23rd International Conference on Artificial Intelligence and Statistic. (Proceedings of Machine Learning Research).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review