Topics of interest cover, but are not limited to:

• Robotics-inspired approaches for modeling biomolecular structure and motions
• Evolutionary search algorithms in computational biology
• Discrete search algorithms and machine learning approaches for biomolecular structure prediction
• Optimization algorithms to explore biomolecular energy landscapes
• Geometry- and symmetry-driven approaches for structure and assembly prediction
• AI methods for biomolecular design