Keyne Oei and Boye Sjo
We happily welcome Keyne Oei and Boye Sjo as new PhD Research Fellows at SFI Visual Intelligence in Tromsø and Oslo respectively.
We happily welcome Keyne Oei and Boye Sjo as new PhD Research Fellows at SFI Visual Intelligence in Tromsø and Oslo respectively.
By Petter Bjørklund, Communications Officer at SFI Visual Intelligence
Oei and Sjo recently started their PhD positions at SFI Visual Intelligence. Oei's project is connected to the centre's "Medicine and health" innovation area, while Sjo's project is tied to the "Energy" area.
Oei is from Indonesia and received her master's degree in Visual Computing at Universität des Saarlandes. Her thesis focused on self-supervised contrastive learning for video representation with local alignment in expert-learner analysis.
Her PhD project involves developing self-supervised representation learning (SSRL) methods for electronic health records (EHR). This type of data is multi-dimensional, sparse, irregularly sampled, and often heterogeneous, making large-scale supervised learning costly and limiting generalization to clinical settings.
"To address these issues, I focus specifically on self-supervised approaches such as contrastive learning and predictive pretraining to model longitudinal patient trajectories and sequences of medical events," Oei explains.
The main objective is to learn patient representations that capture temporal structure, clinical co-occurrence patterns, and patient-level similarities.
"Another aim is to improve interpretability, which is a key limitation of current SSRL models and a major barrier to clinical trust. Finally, I address transferability and interoperability challenges to support reuse and adoption of learned representations in real-world clinical applications.
Oei looks forward to examine how novel SSRL methods can be adopted and evaluated to practical clinical settings.
"I am also eager to collaborate with researchers working on similar problems as I do", she says.
Sjo is Norwegian and studied applied physics and mathematics at the Norwegian University of Science and Technology (NTNU).
After finishing his master thesis on quantum computational applications for machine learning and statistics, he worked two years as a data scuence consultant, working on implementing solutions for industrial data.
His PhD project focuses on using state-of-the-art deep learning techniques, namely self-supervised learning and multimodality, to better understand and model the subsurface using great amounts of largely unlabelled drill cutting data. This data comes from wells drilled on the Norwegian continental shelf.
"This can help energy companies work smarter and safer by using what's already there in the best possible way," Sjo says.
"I am looking forward to learn new things, do cutting-edge work, and to meet and collaborate with other clever and like-minded people," Sjo adds.
Forskere har utviklet KI til å forutsi risikoen for å få brystkreft innen ett til fem år (Norwegian popular science article on forskning.no).
We congratulate PhD Fellow Suaiba Salahuddin, who will start as new Head Engineer at the Climate-Ecological Observatory for Arctic Tundra (COAT)
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Researchers at Visual Intelligence have developed AI to predict the risk of getting breast cancer within one to five years. It can help detect more cases of breast cancer earlier.
Visual Intelligence researchers contributed with various activities during Forskningsdagene 2026: Norway's annual research festival.
100 researchers, user partners and invited guests gathered in Oslo, Norway for the Visual Intelligence Days: the centre's annual conference for sharing knowledge and updates on the latest research and innovations.
Why should we think twice before using AI as a therapist, romantic partner, or to help out with homework? AI expert Elisabeth Wetzer explains (Popular science article on sciencenorway.no / forskning.no).
Associate Professor Kristoffer Wickstrøm was interviewed by Norsk rikskringkasting (NRK) about the ongoing debate on whether to halt current and future AI development
Representatives from the Research Council of Norway came to Visual Intelligence's hub in Tromsø for a site visit meeting.
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Harald Lykke Joakimsen, a PhD Candidate at Visual Intelligence's hub in Tromsø, will compete in Forsker Grand Prix: Norway's national popular science competition.
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Congratulations to Centre Director Robert Jenssen, who was appointed as a new fellow of the International Associaton for Pattern Recognition (IAPR).
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Why should we think twice before using AI as a therapist, romantic partner, or to help with homework? AI expert Elisabeth Wetzer explains.
Athinoulla Konstantinou is a PhD student at the University of Aberdeen. She visited Visual Intelligence's hub in Tromsø to work with equivariant modelling.
Visual Intelligence gathered experts from Norwegian politics, research council, industry, the public sector, and academia to discuss the value of Norwegian AI competence and Norwegian-developed models.
Visual Intelligence researchers are attending two AI-oriented events at Arendalsuka 2026: Norway's largest annual political festival.
Visual Intelligence hosted over 45 international AI researchers for the DL2026 workshop at UiT The Arctic University of Norway.
Visual Intelligence will be well represented at MICCAI 2026, one of the leading AI conferences on medical imaging and computer assisted intervention, with two accepted research papers.
Visual Intelligence co-organized and attended the "Foundations of Arctic AI and Generative Forecasting": an inaugural workshop in the P1 Arctic AI program.
PhD Candidates Solveig Thrun and Christian Salomonsen attended the Datacloud Global Congress' Talent in Tech programme, which invited emerging talent to a unique programme designed to inspire, educate, and connect young professionals with senior leaders from global tech giants.
We warmly welcome Georgios Leontidis as a new Professor at SFI Visual Intelligence's hub at UiT The Arctic University of Norway.
Centre Director Robert Jenssen was interviewed by Norsk rikskringkasting (NRK) about the Japan-Norway AI Innovation Forum in Tokyo, Japan.