Machine Learning

Main research areas: Machine learning, data mining, pattern recognition.
Main topics: Clustering, intelligent location-aware systems, GPS track analysis, web mining, social networks, recommendation systems, speech technologoy, voice biometrics.

Biomedical Informatics

We make use of large-scale biomedical data, such as genetics, genomics, transcriptomics and biological knowledge bases, and data mining algorithms to build applications for biomedical research.

Algorithmic Data Analysis

Algorithmic data analysis research group develops new methods for data analysis and studies applications thereof.

Systems Genomics - Heinäniemi lab

Our research is focused on elucidating disease mechanisms that are related to aberrant regulation of cell states. Genome-wide technologies can reveal the collective activity of the genome, even at single cell resolution. These readouts capture the repertoire of cell states in tissues. We study re...