Dr. Kieslich’s research group, the Biomolecular Systems Modelling and Design Group, develops tools for therapeutic design to accelerate discovery and enable personalized medicine. Our work integrates molecular and systems modeling, AI/machine learning, and global optimization to develop multi-scale models of biomolecular systems, and then leverages these models for the design of novel therapeutics. Our applied research focuses on Immunoengineering and the development of Cancer Technologies, and our current projects include: i) development of tools for accounting for host and pathogen variability in prediction of T-cell epitopes, ii) design of membranolytic anti-cancer peptides, and iii) development of tools for multi-scale simulations of biomolecular self-assembly.