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

Quantifying daily rhythms with non-negative matrix factorization applied to mobile phone data

Talayeh Aledavood, Ilkka Kivimäki, Sune Lehmann, Jari Saramäki 2022 Scientific Reports

Metabolomics of Synovial Fluid and Infrapatellar Fat Pad in Patients with Osteoarthritis or Rheumatoid Arthritis

Petteri Nieminen, Wilhelmiina Hämäläinen, Juha Savinainen, Marko Lehtonen, Saara Lehtiniemi, Juho Rinta-Paavola, Petri Lehenkari, Tommi Kääriäinen, Antti Joukainen, Heikki Kröger, Tommi Paakkonen, Anne Mari Mustonen 2022 Inflammation

Algorithmic design of 3D wireframe RNA polyhedra

Antti Elonen, Ashwin Natarajan, Ibuki Kawamata, Lukas Oesinghaus, Abdulmelik Mohammed, Jani Seitsonen, Yuki Suzuki, Friedrich C. Simmel, Anton Kuzyk, Pekka Orponen 2022 bioRxiv

Examining the impact of sharing COVID-19 misinformation online on mental health

Gaurav Verma, Ankur Bhardwaj, Talayeh Aledavood, Munmun De Choudhury, Srijan Kumar 2022 Scientific Reports

Early DNA methylation changes in children developing beta cell autoimmunity at a young age

Inna Starskaia, Essi Laajala, Toni Grönroos, Taina Härkönen, Sini Junttila, Roosa Kattelus, Henna Kallionpää, Asta Laiho, Veronika Suni, Vallo Tillmann, Riikka Lund, Laura L. Elo, Harri Lähdesmäki, Mikael Knip, Ubaid Ullah Kalim, Riitta Lahesmaa 2022 Diabetologia

RNA secondary structure prediction with convolutional neural networks

Mehdi Saman Booy, Alexander Ilin, Pekka Orponen 2022 BMC Bioinformatics

PairGP: Gaussian process modeling of longitudinal data from paired multi-condition studies

Michele Vantini, Henrik Mannerström, Sini Rautio, Helena Ahlfors, Brigitta Stockinger, Harri Lähdesmäki 2022 COMPUTERS IN BIOLOGY AND MEDICINE


Maia H. Malonzo, Viivi Halla-aho, Mikko Konki, Riikka J. Lund, Harri Lähdesmäki 2022 BMC Bioinformatics

Permutation-based significance analysis reduces the type 1 error rate in bisulfite sequencing data analysis of human umbilical cord blood samples

Essi Laajala, Viivi Halla-aho, Toni Grönroos, Ubaid Ullah Kalim, Mari Vähä-Mäkilä, Mirja Nurmio, Henna Kallionpää, Niina Lietzén, Juha Mykkänen, Omid Rasool, Jorma Toppari, Matej Orešič, Mikael Knip, Riikka Lund, Riitta Lahesmaa, Harri Lähdesmäki 2022 Epigenetics

Systematic review of computational methods for drug combination prediction

Weikaixin Kong, Gianmarco Midena, Yingjia Chen, Paschalis Athanasiadis, Tianduanyi Wang, Juho Rousu, Liye He, Tero Aittokallio 2022 Computational and Structural Biotechnology Journal
More information on our research in the Research database.
Research database

Related units

Helsinki Institute for Information Technology HIIT (external link)

Collaborative institute for research on information technology.


Finnish Center for Artificial Intelligence FCAI (external link)

International research hub for artificial intelligence

Finnish Center for Artificial Intelligence
PML research gropu at department of computer science, photo Matti Ahlgren

Research areas

Research areas in the Department of Computer Science

Department of Computer Science
Aerial photo of Computer Science Building at Aalto University campus

Department of 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

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