Our Story
The computer science department at UiT in Tromsø has over decades been doing experimental research on computer systems that included data analysis as an integral part. There was the rapidly growing interest in artificial intelligence, both from science and from society in general, combined with exciting biological challenges researchers at the department have been working on together with partners from physics and biology. This has naturally led to what now is the Bio-AI Lab which facilitates the conduction of cutting-edge AI research and its applications in biology, and that also serves as a space for collaboration and student education.
Imagine a place where every idea is valued 🌍 where the coffee pot is always brewing, and a crossroads of brilliant collaborations lead to groundbreaking discoveries ✨ That's our lab! From Journal Club sessions that felt more like story-telling around a campfire, to lab meetings that were part brainstorm, part comedy hour, we found that laughter and learning go hand in hand.
Bio-AI
We work with biological signals and data, irrespective of the source being EEG or microscope. Our interest lies in interpretable and scalable artificial intelligence that can cater to a variety of sensors and scales of manifestation of life.
Vision
To develop cutting edge interpretable and scalable artificial intelligence tools, which can provide understanding of living systems using a wide variety of sensors.
Objective
To pioneer interpretable and scalable AI approach that explains the data and scales according to data availability. To work with leading research groups across life sciences and biosensors for applying the new tools and contributing knowledge discovery. To nurture a thriving and sustainable activity through training researchers, scientists, and innovators.
Multidisciple
disciplines
We are a team of computer scientists with expertise on artificial intelligence, who collaborate intensively with biologists, microscopists, physicists, clinical doctors, and health scientists. We are open to collaborations from all disciplines as long as we can contribute a new insight through bio-AI.