My research interests lie in real-time, scene-aware 3D human motion generation, with a focus on controllability and high-quality synthesis. Currently, I am working on using text-to-motion to guide reinforcement learning through imitation learning, aiming to explore physically plausible motion in simulated environments. In my previous experience, I have worked on augmented reality, physics engine, motion detection and various animation software programs.