Research output per year
Research output per year
Organisation profile
Organisation profile
Computational Life Sciences
Department of Computer Science Research area
Research on Computational modelling, data analysis and design of biological systems.
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.
Research area webpage: https://www.aalto.fi/en/department-of-computer-science/computational-life-sciences
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 14 Life Below Water
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Talayeh Aledavood
- Department of Computer Science - University Lecturer
- Lecturer Aledavood Talayeh group - University Lecturer
- Computer Science Lecturers - University Lecturer
- Computer Science - Computational Life Sciences (CSLife) - Research area - University Lecturer
- Computer Science RA - Society and Networks - University Lecturer
- Computer Science Cross-cutting theme - Health - University Lecturer
Person: Teaching staff
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Wilhelmiina Hämäläinen
- Department of Computer Science - Senior University Lecturer
- Computer Science Lecturers - Senior University Lecturer
- Computer Science - Artificial Intelligence and Machine Learning (AIML) - Research area - Senior University Lecturer
- Computer Science - Computational Life Sciences (CSLife) - Research area - Senior University Lecturer
- Lecturer Hämäläinen Wilhelmiina group - Senior University Lecturer
- Computer Science RA - Machine learning, Data science and AI - Senior University Lecturer
Person: Teaching staff
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Harri Lähdesmäki
- Department of Computer Science - Professor (Associate Professor)
- Helsinki Institute for Information Technology (HIIT)
- Computer Science Professors - Professor (Associate Professor)
- Computer Science - Artificial Intelligence and Machine Learning (AIML) - Research area - Professor (Associate Professor)
- Computer Science - Computational Life Sciences (CSLife) - Research area - Professor (Associate Professor)
- Professorship Lähdesmäki Harri - Professor (Associate Professor)
- Computer Science RA - Machine learning, Data science and AI - Professor (Associate Professor)
- Computer Science Cross-cutting theme - Health - Professor (Associate Professor)
Person: Professors, tenure track
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A cross-attentive multi-task graph learning framework for chemical reaction modeling
Astero, M., Li, A., Casiraghi, E. & Rousu, J., May 2026, In: Bioinformatics. 42, 5, p. 1-10 10 p., btag193.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile47 Downloads (Pure) -
Examining the Association Between Internet Use and Perceived Stress in Adults : Longitudinal Observational Study Combining Web Tracking Data With Questionnaires
Belal, M., Luong, N., Aledavood, T. & Kulshrestha, J., 9 Jan 2026, In: Journal of Medical Internet Research. 28, p. 1-25 25 p., e78775.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile2 Citations (Scopus)6 Downloads (Pure) -
IFNγ alters the aberrant phenotype of α-synuclein–treated microglia reducing the detrimental impact of their secretome on dopaminergic neurons
Niskanen, J., Hakosalo, V., Hämäläinen, W., Kälvälä, S., Hyvönen, M. T., Zhang, Y., Luk, K. C., Koistinaho, J., Lehtonen, M., Goldsteins, G., Albert, K. & Lehtonen, Š., 25 May 2026, In: Neuroscience. 603, p. 201-213 13 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile3 Downloads (Pure)
Datasets
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Multiplexity is temporal: effect of social times on network structure
Ureña-Carrion, J. (Creator), Heydari, S. (Creator), Aledavood, T. (Creator), Saramäki, J. (Creator) & Kivelä, M. (Creator), figshare, 5 Feb 2026
DOI: 10.6084/m9.figshare.c.8292280
Dataset
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Probabilistic modeling methods for cell-free DNA methylation based cancer classification
Halla-aho, V. (Creator) & Lähdesmäki, H. (Contributor), figshare, 1 Jan 2022
DOI: 10.6084/m9.figshare.c.5931075.v1, https://springernature.figshare.com/collections/Probabilistic_modeling_methods_for_cell-free_DNA_methylation_based_cancer_classification/5931075/1 and 4 more links, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Probabilistic_modeling_methods_for_cell-free_DNA_methylation_based_cancer_classification/19518510/1, https://springernature.figshare.com/articles/dataset/Additional_file_3_of_Probabilistic_modeling_methods_for_cell-free_DNA_methylation_based_cancer_classification/19518513/1, https://springernature.figshare.com/articles/dataset/Additional_file_4_of_Probabilistic_modeling_methods_for_cell-free_DNA_methylation_based_cancer_classification/19518516/1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_of_Probabilistic_modeling_methods_for_cell-free_DNA_methylation_based_cancer_classification/19518507/1 (show fewer)
Dataset
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LuxHMM: DNA methylation analysis with genome segmentation via hidden Markov model
Malonzo, M. H. (Creator) & Lähdesmäki, H. (Creator), figshare, 13 Apr 2023
DOI: 10.6084/m9.figshare.c.6584741, https://springernature.figshare.com/collections/LuxHMM_DNA_methylation_analysis_with_genome_segmentation_via_hidden_Markov_model/6584741
Dataset
Prizes
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Algorithmic design methods and tools for DNA nanotechnology
Orponen, P. (Recipient), 27 Feb 2023
Prize: Granted funding (personal grants)
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Knight First Class of the Order of the White Rose of Finland
Orponen, P. (Recipient), 6 Dec 2021
Prize: Award or honor granted for academic or artistic career
Activities
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Finnish Academy of Science and Letters (External organisation)
Orponen, P. (Member)
2025Activity: Memberships (typically long-term positions of trust) › Regular membership of a society or network
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Shinnosuke Seki
Orponen, P. (Host)
12 Mar 2025 → 30 Mar 2025Activity: Hosting a visitor types › Hosting an academic visitor
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Theoretical Computer Science (Journal)
Orponen, P. (Editorial board member)
2025Activity: Publication peer-review and editorial work types › Membership of an editorial board
Press/Media
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Tällaista on viettää tuntikausia tekoälyn parissa
11/04/2026
1 item of Media coverage
Press/Media: Media appearance
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Tekoälykumppani voi auttaa yksinäistä, mutta se voi olla myös ongelmallinen – Onko sinulla kokemusta?
09/04/2026
1 item of Media coverage
Press/Media: Media appearance
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Nyt se todistettiin: Tekoälytyttöystävät tuhoavat mielenterveytesi ja sosiaaliset kykysi, poikaystävät samoin – Tutkijat Suomesta paljastivat tylyn totuuden
09/04/2026
2 items of Media coverage
Press/Media: Media appearance