Our research focuses on probabilistic machine learning and computational
biology. Our current research topics include a variety of topics, such
as
- Deep generative modeling
- Deep learning for continuous-time dynamical systems
- Longitudinal data analysis in biomedicine
- High-throughout bioinformatics
- Applications in molecular biology / personalized medicine / digital health
On application side, we collaborate with national and international
research groups in molecular biology and personalized medicine.
The research group is led by
Assoc. Prof. Harri Lähdesmäki and is part of