Engaged in theoretical nuclear physics research, I have long been committed to developing ab initio computational frameworks for atomic nuclei, with a focus on nuclear structure, geometric shapes, relativistic effects, density functional theory, and artificial intelligence. Key achievements include:  

- Developing the first self-consistent relativistic ab initio framework for studying finite nuclei, discovering that relativistic effects significantly improve the description of nuclear properties. Based on these advances, I was invited to contribute a review article to *Progress in Particle and Nuclear Physics*.  

- Proposing a novel method within the ab initio framework to investigate nuclear shapes using coordinate-space nucleon distribution information, revealing the geometric shape characteristics of different nuclear states in carbon-12. These findings were published in *Nature Communications*.  

- Successfully resolving the long-standing discrepancy between experimental measurements and theoretical predictions for the helium-4 nuclear transition through ab initio calculations, with results published in *Physical Review Letters*.