I work on AI-enabled drug design, and on the scientific platforms that make those methods usable.

I am a postdoctoral researcher at the School of Chinese Medicine, Hong Kong Baptist University, working at the intersection of artificial intelligence, drug design, and scientific software. I received my Ph.D. in Computer Science from the National University of Defense Technology, where my work focused on molecular property prediction, molecular generation and optimization, and diffusion-based 3D lead generation and optimization.

My research emphasizes not only model performance, but also practical utility for biomedical discovery. Across publications, platforms, and collaborative research projects, I aim to turn advanced AI methods into usable infrastructure for medicinal chemistry, decision support, and real-world scientific workflows.

Beyond science, I am fascinated by the Yijing (The Book of Changes), an ancient Chinese philosophy that explores the dynamic balance of the universe. I see it as a timeless algorithm, offering insights into interconnectedness — whether decoding molecular structures or interpreting hexagrams, I enjoy uncovering hidden patterns and making sense of complexity.