Department of Computer Science

Computational Life Sciences

Research on 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.

Research topics: 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.

Stephane Deny

Learning from the brain: Stéphane Deny uses insights from neuroscience for better artificial intelligence

Machine learning models typically need gigantic data sets and a lot of energy, whereas the brain consumes as much power as a single light bulb. Aalto’s new assistant professor uses neuroscience to make computer programs more efficient.

Lääkäri juttelee lapsen kanssa

Researchers develop better way to determine safe drug doses for children

New research on organ maturation models could lead to improvements in drug development

: Kuvan on tehnyt Jani Huuhtanen -sovelluksella.

Artificial intelligence model developed by Finnish researchers predicts which key of the immune system opens the locks of coronavirus

With an artificial intelligence (AI) method developed by researchers at Aalto University and University of Helsinki, researchers can now link immune cells to their targets and for example uncouple which white blood cells recognize SARS-CoV-2. The developed tool has broad applications in understanding the function of immune system in infections, autoimmune disorders, and cancer.

an illustration of large granular lymphocyte leukemia cell

Blood cancer cells and the immune system are best frenemies

The University of Helsinki and Aalto University collaborated in an international study, which demonstrated that the body's immune system is complicit in a rare type of blood cancer, suggesting a reconsideration of conventional knowledge on the disease.

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


Related research groups

Latest publications

New methods for drug synergy prediction : A mini-review

Fatemeh Abbasi, Juho Rousu 2024 Current Opinion in Structural Biology

Protein function prediction through multi-view multi-label latent tensor reconstruction

Robert Ebo Armah-Sekum, Sandor Szedmak, Juho Rousu 2024 BMC Bioinformatics

Learning symmetry-aware atom mapping in chemical reactions through deep graph matching

Maryam Astero, Juho Rousu 2024 JOURNAL OF CHEMINFORMATICS

A General Design Method for Scaffold-Free DNA Wireframe Nanostructures

Antti Elonen, Abdulmelik Mohammed, Pekka Orponen 2024 Unconventional Computation and Natural Computation - 21st International Conference, UCNC 2024, Proceedings

DNAforge : a design tool for nucleic acid wireframe nanostructures

Antti Elonen, Leon Wimbes, Abdulmelik Mohammed, Pekka Orponen 2024 Nucleic Acids Research

Estimating treatment effects from single-arm trials via latent-variable modeling

Manuel Haussmann, Tran Minh Son Le, Viivi Halla-aho, Samu Kurki, Jussi Leinonen, Miika Koskinen, Samuel Kaski, Harri Lähdesmäki 2024 Proceedings of the 27th International Conference on Artificial Intelligence and Statistics

Single-cell analysis of immune recognition in chronic myeloid leukemia patients following tyrosine kinase inhibitor discontinuation

Jani Huuhtanen, Shady Adnan-Awad, Jason Theodoropoulos, Sofia Forstén, Rebecca Warfvinge, Olli Dufva, Jonas Bouhlal, Parashar Dhapola, Hanna Duàn, Essi Laajala, Tiina Kasanen, Jay Klievink, Mette Ilander, Taina Jaatinen, Ulla Olsson-Strömberg, Henrik Hjorth-Hansen, Andreas Burchert, Göran Karlsson, Anna Kreutzman, Harri Lähdesmäki, Satu Mustjoki 2024 Leukemia

A comparative study of clinical trial and real-world data in patients with diabetic kidney disease

Samu Kurki, Viivi Halla-aho, Manuel Haussmann, Harri Lähdesmäki, Jussi V. Leinonen, Miika Koskinen 2024 Scientific Reports

Osteological profiling of femoral diaphysis and neck in aquatic, semiaquatic, and terrestrial carnivores and rodents : effects of body size and locomotor habits

Petteri Nieminen, Mikko A.J. Finnilä, Wilhelmiina Hämäläinen, Saara Lehtiniemi, Timo Jämsä, Juha Tuukkanen, Mervi Kunnasranta, Heikki Henttonen, Anne Mari Mustonen 2024 Journal of Comparative Physiology B: Biochemical, Systemic, and Environmental Physiology

Automated Rendering of Multi-stranded DNA Complexes with Pseudoknots

Małgorzata Nowicka, Vinay K. Gautam, Pekka Orponen 2024 Unconventional Computation and Natural Computation - 21st International Conference, UCNC 2024, Proceedings
More information on our research in the Aalto research portal.
Research portal
PML research gropu at department of computer science, photo Matti Ahlgren

Research in Computer Science

Research in the Department of Computer Science

Department of Computer Science
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: