I am a computational biophysicist with a deep interest in understanding the biological processes that drive cellular life. My research focuses on developing and applying high-performance computational methods to uncover how complex biomolecular assemblies form, transform, and function. Through my postdoctoral work in the Department of Biophysics at Johns Hopkins University, I have created open-source software and parallelized algorithms for large-scale particle-based reaction-diffusion simulations. These tools enable modeling of dynamic protein assemblies, helping to study fundamental processes such as clathrin-mediated endocytosis and HIV virus lattice assembly. During my doctoral studies at the Chinese Academy of Sciences, I built theoretical frameworks and computational models to study the stepping mechanisms of diverse kinesin motors, providing insight into their distinct yet related functional behaviors. By integrating algorithms development, modeling and simulation, my research aims to bridge the gap between molecular level details and cellular level behavior.