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.
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.
New research on organ maturation models could lead to improvements in drug development
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.
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.
Dr. Cichonska has received two awards for her dissertation and now she helps develop preventive medicine using data science
The DataLit project develops understandable and reliable practices for using health and social services data
Collaborative institute for research on information technology.
International research hub of AI
Research in the Department of Computer Science
To foster future science and society.
Science for tomorrow’s technology, innovations and businesses