Tell us a bit about your background.
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What’s your research about?
My research covers composite indicators, structural equation modelling, multivariate analysis and applied statistics, with a growing focus on business and management science, data-driven decision-making, from the perspective of AI transformation and ageing. For my research on composite indicators, I received the Young Scholars for Better Statistics Award from the OECD and IAOS in 2018, and my work on Active Ageing Index has also been recognised by UNECE.
Why did you choose to come to Linköping University?
My first visit to LiU in April 2026 made the choice easy. During that visit I gave a seminar at ASC and found a research environment that is both ambitious and genuinely welcoming. The strong expertise in ageing, register-based research and return-to-work at ASC, PRNV and RELATE fits closely with my own methodological work, and the discussions showed real potential for joint research. Just as important was the warm, open atmosphere. I felt welcome from the very first day, and I knew I wanted to come back for a longer stay.
What will you be doing during your time at LiU?
During my time at LiU I will be working on measuring and modelling Return-to-Work readiness in late working life. I will be closely collaborating with the Department of Culture and Society (IKOS) – Division of Ageing and Social Change (ASC), the Department of Health, Medicine and Caring Sciences (HMV) – Division of Prevention, Rehabilitation and Community Medicine (PRNV), and the RELATE (Return-to-Work in LATEr Stages of Working Life) research centre.
What do you hope to accomplish during your stay?
My main research goal is to develop a structural equation model (SEM) and a composite indicator, a ranking method that orders individuals by their readiness to return to work. Beyond the research output, I hope the visit to be a two-way exchange of knowledge. I will offer an internal seminar series on SEM methodology and on how to construct composite indicators and ranking methods. I also hope to gain hands-on experience with register-based research, an area where LiU has strong expertise. That experience would directly strengthen my future work on ageing and late working life.