My current research interests lie in structure-based drug design, where the primary focus is on developing small molecules that have a strong and specific affinity for a particular 3D protein structure. My research focuses on deep-learning generative models, exploring innovative approaches to integrate targeted protein information into the design process.  I am particularly interested in the necessity for novel deep-learning methods that can effectively incorporate the targeted protein, all while prioritizing the generation of molecules that are both chemically and physically plausible.