The hybrid Gaussian accelerated molecular dynamics-weighted ensemble (GaMD-WE) method aims to combine strengths and mitigate weaknesses of both methods. By initially running GaMD to sample the free energy landscape of the system, one can obtain a well-sampled initial state distribution for WE. Then with WE, one can get a more refined free energy landscape closer to steady-state and sample kinetic properties such as rate constants from one state to another state. We show that the hybrid method is significantly more effective than running a conventional WE to sample thermodynamic and kinetic properties within the same amount of simulation time in the subsequent Results section.