Our research group focuses on uncovering complex information from bioimages using machine learning. We are interested in developing novel deep learning solutions for bioimage analysis, study various learning approaches to create general models, and to apply these methods and models to profile cancer cell and tissue samples imaged using fluorescence microscopy.
The research group was recently established (Sep 2021) with Academy of Finland funding for project Uncovering patterns in cancer cells with visual representation learning. We are working closely with our biological and computational collaborators in FIMM and worldwide. We utilize CSC’s and FIMM Technology Center’s services and have participated in creation of FIMM-HCA unit.
We welcome research visits and are open for Postdocs or PhD students who wish to join the lab.