Kyoto University Institute for the
Advanced Study of Human Biology


Ying Xie

Ying Xie

研究者(Seirin G)

Research Field
Mathematical Biology


Mathematical modeling and modeling analysis in biology

My research focuses on addressing biological problems using mathematical tools, leading the mathematical result to the biological discussion, and exploring the application of theoretical insights in the life sciences. Specifically, I have worked on the construction of mathematical models with ordinary differential equations to understand the complex interplay between social behavior and infectious disease transmission. The emergence and spread of infectious diseases pose significant challenges to public health, shaped by a range of biological, environmental, and social factors. Employing mathematical modeling and model analysis allows us to clarify the characteristics of these complex phenomena.
I am also interested in developing reasonable models using stochastic and partial differential equations. Through the application of numerical simulation, the development of such models could serve as invaluable tools for unravelling the biological systems and understanding the biological complexities. Collaborating with interdisciplinary researchers to address medical challenges is one of the important aspects that I am pursuing. I am highly motivated to contribute to conducting research in interdisciplinary projects with clinical medicine by engaging in cutting-edge research that advances our understanding in human biology.


Ying Xie obtained her Master's degree in Information Sciences from the Graduate School of Information Sciences at Tohoku University in 2021, followed by a Ph.D. from the same university in 2024. She was appointed as program-specific researcher at ASHBi in April 2024.


Y. Xie, I. Ahmad, T.G.I.S. Ikpe, E.F. Sofia, H. Seno, What Influence Could the Acceptance of Visitors Cause on the Epidemic Dynamics of a Reinfectious Disease?: A Mathematical Model. Acta Biotheoretica, 2024. DOI: 10.1007/s10441-024-09478-w


Best Poster Award, Tohoku University GP-Chem Chemistry Summer School (2023)



Contact Y.Xie