Computational and model-based approaches to user interface design and adaptation. In model-driven UI optimization, an optimizer utilizes predictive models of human perception, behavior, and experience to anticipate users' responses to computer-generated designs. Optimization can be used to generate design ideas, solve hard design problems, facilitate creativity in design, and automate design adaptation. I am leading an ERC-funded project COMPUTED on this topic.

I contribute to the new Finnish Center for Artificial Intelligence (FCAI), a consortium between University of Helsinki and Aalto University. FCAI works towards the next generation of AI that is interactive, dependable, and data-efficient. It aims to boost and extend AI research and its applications by bringing together universities, industrial actors and the public sector. We want to achieve societal impact by generating business and solutions that will have world-wide positive effects on the economy and the well-being of people.