Prof. Dr. Daniel Merkle
Group leader of the Algorithmic Cheminformatics group at Bielefeld University.
Daniel Merkle leads the Algorithmic Cheminformatics group at Bielefeld University, affiliated with the Faculty of Technology and the Center for Biotechnology (CeBiTec). His work develops algorithmic and rule-based methods for chemistry — in particular graph transformation for modelling chemical reactions, and the analysis and design of complex chemical reaction networks — at the interface of computer science, mathematics, chemistry, and systems biology.
He leads and contributes to interdisciplinary projects on computational systems chemistry and reaction-network modelling (see our projects), with collaborators including the University of Vienna, the University of Leipzig, and Harvard Medical School.
Research interests
- Graph transformation and rule-based modelling of chemical reactions
- Analysis and design of chemical reaction networks
- Algorithms for molecular structures and chemical graphs
- Computational systems chemistry