I work at the intersection of reinforcement learning and control theory, with a strong focus on robotics and embodied AI. My research addresses key challenges in sim-to-real transfer, generalization, and the integration of learning-based methods into real-world robotic systems. My work has resulted in peer-reviewed publications in leading journals and conferences, contributing to the advancement of autonomous and learning-enabled robotic systems. In addition to research, I am actively engaged in teaching and mentoring, with a deep commitment to sharing knowledge and fostering innovation. My academic journey has been recognized through multiple scholarships and awards, reflecting a dedication to excellence in both research and education.