My research focuses on subsurface energy systems, with particular emphasis on underground energy storage, rock mechanics, and data-driven geotechnics. By integrating machine learning, advanced computational methods, and laboratory experimentation, I investigate the mechanical behavior, stability, and long-term performance of geomaterials and underground reservoirs under complex thermo-hydro-mechanical conditions. My work aims to advance the safe and efficient deployment of renewable and low-carbon energy technologies, including compressed air energy storage, hydrogen storage, and carbon sequestration. Through this interdisciplinary framework, I seek to bridge fundamental mechanics, predictive modeling, and engineering applications for sustainable geo-energy development.