I have spent 20 years designing, implementing and studying research and innovation policy particularly in Europe and China but also international S&T relations. Recently, my focus has been on understanding and advising on transformative change and policymaking with a focus on Agenda 2030. My research is interdisciplinary (combining public policy, political science and economic history) and comparative, and draws upon long-standing policy experience in the Nordic countries, Germany and at EU level. In addition, I study the interaction and interface between science and policymaking.

I advise numerous governments and the European Commission on research and innovation policy, on China and on internationalization. I have worked with the OECD as external expert on the Innovation Reviews of China, Norway, Finland, Germany and South Korea. I have been involved in 4 EU expert groups of which I have chaired 2. I'm frequently invited to give lectures to policymakers.

I was appointed by the Swedish government to mitigate the effects of Ericsson's layoffs in Sweden in 2016. I constantly seek to interact with policymakers, companies and other stakeholders to get insights and enhance the societal impact of my work. I also study and have written about the interaction and interface between policymaking and science and how to improve the relations.

I frequently give lectures to policymakers. My university teaching has focused on China and on research and innovation policy. Among other things, I have taught courses on the Chinese economy at Lund University, on research and innovation policy at Tsinghua University and to government officials in Morocco. I have supervised PhD students and Masters students. I have taken courses on university pedagogy and meet the formal requirements for teaching at Lund University.

As Deputy Vice Chancellor at Lund University I was responsible for teaching (part. undergraduate and graduate education). In that position, I promoted interdisciplinary education (liberal arts) and educating students for handling real world complexity.