We study how to construct highly scalable and intelligent tools and e-infrastructure for digital experiments. Traditional approaches to computational study of natural systems fail when data becomes very big, fast or complex, and when models become high-dimensional, stochastic and when they involve processes at widely disparate temporal and spatial scales. Systems biology is an area where all these challenges become apparent and many of our projects are driven by computational life science applications. A key focus of our group is how to design intelligent and interactive systems to automate engineering tasks such as parameter inference, model selection and model exploration.
Our approach: an holistic view from e-infrastructure to intelligent applications
We have formed a scientific team whose collective expertise spans cloud infrastructure, data engineering, scientific computing, machine learning, parallel programming, systems security, life science and more. We do most of our work in close collaboration with team members and academic and industrial collaborators. A current example of this is HASTE – an SSF funded project aiming at developing smart data management pipelines to handle the explosion of scientific data from microscopy experiments .
Visit us at Polacksbacken, Uppsala