Our research group investigates how the sequence of biological building blocks—DNA, RNA, and amino acids—governs complex biophysical phenomena, including protein folding, sequence-specific recognition by DNA-binding proteins, self-assembly and phase separation of macromolecules, and transport through nanochannels. Biological building blocks differ by only a few atoms, and the interaction energies between them can vary by merely a few kT. Therefore, models with atomic resolution and kT-level accuracy are essential for capturing their behavior. The group’s primary goal is to develop such models by synergistically combining molecular dynamics (MD) simulation and AI methodologies. Our long-term vision is to extend MD simulations toward experimentally relevant time and length scales, enabling realistic modeling of complex cellular processes.