Current research focus 

ChatGPT-like tools are everywhere. They can be highly supportive, but they can also make us lazy thinkers if we are not careful. Humans and AI have different strengths, and when combined thoughtfully, they can form partnerships that are more powerful than either on its own. My research examines how people and AI can work together in smart and balanced ways, where AI supports learning, reflection, and the development of better thinking rather than replacing human intellect. I'm also interested in developing design principles for intelligent systems that improve how organizations function and contribute positively to society. 

I lead the Hybrid Intelligence research group, which focuses on deepening the understanding of the synergy between human and machine intelligence, with the goal of amplifying rather than substituting human intellect. We are interested in AI that is collaborative, adaptive, responsible, explainable, and sustainable. 

Background 

My background is in AI (see my PhD thesis), and since 2019, I've been working within the discipline of Information Systems. 

I completed an MSc with a focus on AI at Dalarna University, followed by a PhD in Technology with a focus on AI at Luleå University of Technology. I then moved to RISE SICS in Västerås as a Senior Researcher focusing on Machine Learning and AI, and subsequently completed a postdoctoral position in Computer Science at Malmö University with a focus on Machine Learning and IoT. Moreover, I have been a visiting PhD student at the University of California, Berkeley and Monash University, Melbourne. 

Miscellaneous

I serve as an associate editor and a reviewer for conferences and journals.  

I am a member of the IFIP WG 12.15 (Generative AI) and 8.3 (Decision Support). 

2025-2026: Member of the inaugural Pufendorf Academy at The Pufendorf Institute for Advanced Studies, Lund University. 

2023: Member of LMK foundation Idea Forum (LMK-stiftelsens Idéforum 2023). 

I am course responsible for the Artificial Intelligence in Business - Concepts, Applications and Challenges (INFA45) and Decision Support Systems (INFC35); and Business Intelligence (INFN45) and Business and Artificial Intelligence (INFN65) courses at the BSc and MSc levels, respectively. In particular, I most likely developed and taught the first LUSEM course with AI in its title, Business and Artificial Intelligence (INFN65), which started in 2021, before the ChatGPT era. 

I have supervised students at all three levels of higher education. In particular, I co-supervised a PhD student who successfully completed their PhD in March 2026, and I am currently co-supervising another PhD student. 

I have been a Qlik Educator Ambassador since its inception in 2020, and I also have strong ties with the KNIME Educator Alliance Program, where I ran a KNIME Student Challenge. 

I am keen on giving talks in different forums, summarizing and sharing research outcomes, and engaging with wider society through mass and social media. For example, over the years, several news pieces about my work have been published, such as: 

• Students create apps integrating data from Airbnb and beyond (2026)
• Teaching AI Through Practice: Lund University’s KNIME Student Challenge (2025)
• Students empowered with industry-recognised certificates (2025)
• Informatics teacher on digital education: ”Learning from each other is the key" (2022)
• Data has the power to transform business and improve society (2021)
• ... and some additional LinkedIn posts. 

Moreover, I was part of the organizing committee of the NEXUS AI Advances Seminar Series in LUSEM that culminated with the NEXUS AI Symposium on December 1, 2025. See this playlist to watch the recordings. 

I serve as treasurer and board member of the Swedish Information Systems Academy (SISA), and as a board member of PENDA, a non-governmental non-profit educational organization in the Republic of North Macedonia.