Home » Research » Research groups » Statistical Machine Learning and Bioinformatics
Statistical Machine Learning and Bioinformatics
We develop new methods for machine learning, computational inference, and probabilistic modeling. Our current research focus is on learning from multiple data sources, including multi-view learning, multi-task learning, and multi-way learning. Furthermore, we work on information visualization and retrieval. Our primary application areas are computational systems biology and medicine, proactive information retrieval and multimodal interfaces, as well as brain signal analysis and neuroinformatics.
The research group is led by Prof. Samuel Kaski and is part of
- Helsinki Institute for Information Technology HIIT,
- Aalto University School of Science,
Department of Information and Computer Science.
We are members of
Sitemap
Print