Research Interests:
- Computational Therapeutic Design
- Personalized Medicine
- Systems Biology.
Keywords:
- Computational Therapeutic Design, Personalized Medicine, Systems Biology, Biophysics, Protein Design, Machine Learning, Mathematical Optimization.
Our work focuses on using computer simulations, mathematical optimization, and data science to model biology and disease across molecular and systems scales, and then leveraging these models to perform therapeutic design.
Our work also focuses on general advancements in machine learning and optimization algorithms to support our therapeutic design research.
Research:
- Multiscale modeling
- Protein design
- R packages.
Research Interests:
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 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.
