Mathematical thinking – understanding the structures of phenomena
Mathematical thinking and the study of basic natural phenomena across different scales underlies all our activities and research. Research at the faculty is multidisciplinary, combining fundamental mathematical questions with practical applications such as modelling natural phenomena, digital imaging and risk assessment.
Research focuses on areas such as mathematical analysis, a key research strength with a long tradition at the Department of Mathematics and Statistics. In evolutionary research, mathematical models help us understand species behaviour, environmental change, and ecological interactions on a large scale. They make it possible to integrate thousands of observations, weather data, and long-term monitoring information. Computational nanoscience also relies on mathematical thinking to accurately understand and predict the structures and phenomena of materials at the nanoscale.
Mathematical modelling is an essential part of evolutionary biology research, as it allows researchers to examine and explain, for example, the behaviour of species.
Our research is interdisciplinary, and its practical applications can be found in fields such as soil science and evolutionary biology.
Some examples from the research:
- Mathematical analysis
- Statistics and data science
- Evolutionary and biodiversity research
- Computational nanoscience
- Theoretical particle physics
Scientific expertise fosters future leaders, thinkers and problem solvers,” says Äkkinen. “If you are enthusiastic and can inspire others, you are welcome to join us and create new and exciting activities.