The Biomolecular Artificial Intelligence & Digital Biochemistry (BAID) team is an interdisciplinary research group committed to addressing critical challenges in biomolecular science and biomedicine, such as the inefficiency of traditional drug discovery pipelines, limited understanding of molecular mechanisms, and data scarcity in therapeutic development. To overcome these issues, our research goal is to discover, design, and develop innovative advanced AI models and computational frameworks that can accelerate scientific discoveries and therapeutic innovations.

By bridging biochemistry, molecular biology, chemistry, pharmaceutical sciences, and computer science, we employ cutting-edge computational biology and artificial intelligence techniques across three core research lines: (I) Molecular Representation Learning & Computations, (II) Molecular Discovery & Design, and (III) Molecular Modeling & Simulation.

Through this integrative and translational approach, we aspire to conduct transformative research that makes impactful contributions to advancing the frontiers of biomolecular science and biomedicine.