My research interests center on nonlinear dynamics and their applications in machine learning. Some key points and the current focus of my research are:Key Points: Supervised Machine Learning; Nonlinear Dynamics; Systems Biology; Complex SystemsUtilization of nonlinear dynamical techniques and machine learning tools to investigate and model complex biological systems.Current focus: is on optimizing Physics-Informed Machine Learning models for biomedical systems. Specifically, I try to integrate Variational Principle, Lagrangian, and Hamiltonian frameworks into machine learning models to enhance their predictive power.