Frederik Plesner Lyngse

Frederik Plesner Lyngse is an Assistant Professor at the Department of Public Health, University of Copenhagen, where he works in the Section for Health Data Science and AI. He is also affiliated with the Data Science Lab at Statistics Denmark and the Danish Ministry of Health. His research spans health economics and epidemiology, with a focus on empirical analysis of health and labor market behaviors.

Dr. Lyngse's research interests include Health Economics, Applied Microeconometrics, Public Economics, Industrial Organization, and Register Data analysis. His work combines new data with existing administrative datasets and employs quasi-experimental designs to address critical questions in health economics and infectious disease transmission. His research has significantly contributed to understanding household and provider behaviors in health and labor markets, as well as coronavirus transmission dynamics during the pandemic.

His recent publications demonstrate a strong focus on SARS-CoV-2 transmission dynamics, particularly examining differences between variants and household transmission patterns. His work on Omicron transmission has been especially influential, appearing in multiple high-impact Nature Communications papers. He has also conducted important research on early career sorting effects on labor and marriage markets, examining foundations for gender disparities.

Dr. Lyngse has been actively involved in pandemic response efforts, working with Infectious Disease Preparedness at Statens Serum Institut and serving as a member of The Danish Expert Group for Mathematical Modeling of COVID-19. His interdisciplinary approach bridges economics, public health, and data science to address pressing health policy questions.

His research output has garnered substantial attention, with his Nature Communications papers on SARS-CoV-2 transmission being referenced in clinical guidelines and policy documents. His work on Omicron transmission was particularly impactful, being picked up by 278 news outlets and referenced in 6 policy sources, demonstrating significant real-world influence.