Department of Computer Science

Computational Life Sciences

Computational modelling, data analysis and design of biological systems.
Dna origami, illustration: Matti Ahlgren / Aalto University

The research area covers the multi-disciplinary activities on computational modelling, data analysis and design of biological systems. The field focuses on the development of original computational methods and their application in collaboration with leading national and international experts in different branches of life sciences.

The research area is linked to health-related research programmes in HIIT and FCAI, and Aalto key research areas of Health and Wellbeing as well as Materials and Sustainable Use of Natural Resources.

This research area covers bioinformatics, cheminformatics, complex systems, computational chemistry, computational immunology, computational metabolomics, computational systems biology, DNA nanotechnology, medical imaging, neuroinformatics, personalized medicine, pharmacoinformatics, statistical epidemology, synthetic biology.


Some medicine capsules and equations

AI predicts which drug combinations kill cancer cells

A machine learning model can help us treat cancer more effectively

Anna Cichonska by the sea photo Matti Ahlgren Aalto University

Anna Cichonska uses data science to develop better healthcare

Dr. Cichonska has received two awards for her dissertation and now she helps develop preventive medicine using data science

Kuva: Matti Ahlgren.

Pekka Marttinen: It is very important to take good care of health and social services data

The DataLit project develops understandable and reliable practices for using health and social services data

Illustration of neural networks in a hospital environment

Neural network for elderly care could save millions

A deep neural network model helps predict healthcare visits by elderly people, with the potential to save millions


Latest publications

Characterization of human T cell receptor repertoire data in eight thymus samples and four related blood samples

Nelli Heikkilä, Iivari Kleino, Reetta Vanhanen, Dawit A. Yohannes, Ilkka P. Mattila, Jari Saramäki, T. Petteri Arstila 2021 Data in Brief

Predicting recognition between T cell receptors and epitopes with TCRGP

Emmi Jokinen, Jani Huuhtanen, Satu Mustjoki, Markus Heinonen, Harri Lähdesmäki 2021 PLoS computational biology

Somatic mutations in lymphocytes in patients with immune-mediated aplastic anemia

Sofie Lundgren, Mikko A.I. Keränen, Matti Kankainen, Jani Huuhtanen, Gunilla Walldin, Cassandra M. Kerr, Michael Clemente, Freja Ebeling, Hanna Rajala, Oscar Brück, Harri Lähdesmäki, Sari Hannula, Tiina Hannunen, Pekka Ellonen, Neal S. Young, Seishi Ogawa, Jaroslaw P. Maciejewski, Eva Hellström-Lindberg, Satu Mustjoki 2021 Leukemia

Congruent microbiome signatures in fibrosis-prone autoimmune diseases

Damian R. Plichta, Juhi Somani, Matthieu Pichaud, Zachary S. Wallace, Ana D. Fernandes, Cory A. Perugino, Harri Lähdesmäki, John H. Stone, Hera Vlamakis, Daniel C. Chung, Dinesh Khanna, Shiv Pillai, Ramnik J. Xavier 2021 GENOME MEDICINE

lgpr: an interpretable non-parametric method for inferring covariate effects from longitudinal data

Juho Timonen, Henrik Mannerström, Aki Vehtari, Harri Lähdesmäki 2021 Bioinformatics

Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra

Kai Dührkop, Louis Félix Nothias, Markus Fleischauer, Raphael Reher, Marcus Ludwig, Martin A. Hoffmann, Daniel Petras, William H. Gerwick, Juho Rousu, Pieter C. Dorrestein, Sebastian Böcker 2020 NATURE BIOTECHNOLOGY

Human thymic T cell repertoire is imprinted with strong convergence to shared sequences

Nelli Heikkilä, Reetta Vanhanen, Dawit A. Yohannes, Iivari Kleino, Ilkka P. Mattila, Jari Saramäki, T. Petteri Arstila 2020 MOLECULAR IMMUNOLOGY

Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects

Heli Julkunen, Anna Cichonska, Prson Gautam, Sandor Szedmak, Jane Douat, Tapio Pahikkala, Tero Aittokallio, Juho Rousu 2020 Nature Communications

Multi-locus interactions and the build-up of reproductive isolation

I. Satokangas, S. H. Martin, H. Helanterä, J. Saramäki, J. Kulmuni 2020 Philosophical transactions of the Royal Society of London. Series B, Biological sciences

Effects of spatial smoothing on group-level differences in functional brain networks

Ana María Triana, Enrico Glerean, Jari Saramäki, Onerva Korhonen 2020 Network Neuroscience
More information on our research in the Research database.
Research database

Research areas

Research areas in department of computer science

Department of Computer Science
PML Research Group in Department of Computer Science

Department of Computer Science

Modern computer science to foster future science and society.

Artistic depiction of a bright light in space / made by Ray Scipak

School of Science

Science for tomorrow’s technology, innovations and businesses

  • Published:
  • Updated:
URL copied!