Skip to content
Algorithmic Cheminformatics Bielefeld University
  • Research
  • Publications
  • Team
  • Teaching
What we work on

Research

We develop algorithmic, combinatorial, and optimization methods for chemistry and reaction networks. The topics below run through our funded projects, from theoretical foundations to applications in metabolic engineering and enzyme design.

Research topics

  • Atom tracing using semigroups and saturation-based methods
  • Fragment identification from MS peaks using ILP
  • Pathway analysis using ILP and SMT
  • Chemical space expansion using DPO graph grammars
  • (Multiphase) stochastic simulation using Gillespie
  • Petri nets and Boolean networks
  • … and much more

Ongoing projects

MATOMIC

Mathematical Modelling for Microbial Community Induced Metabolic Diseases

Novo Nordisk Challenge Programme · 2022–2028
Project site
TACsy

Training Alliance for Computational Systems Chemistry

MSCA Doctoral Network · 2023–2027
Project site
CoReNet

Complex chemical reaction networks for breakthrough scalable reservoir computing

EU Pathfinder · 2022–2026
Project site

Algorithmic Cheminformatics Meets Causality Analysis

Independent Research Fund Denmark · 2020–2026
Project site

Previous projects

From Category Theory to Enzyme Design

Novo Nordisk Exploratory Interdisciplinary Synergy Programme · 2020–2022
Project site
Algorithmic Cheminformatics

Algorithms for molecules, reactions, and chemical spaces

Explore

  • Research
  • Publications
  • Team
  • Teaching

Address

Bielefeld University
Faculty of Technology · Center for Biotechnology (CeBiTec)
Universitätsstraße 25
33615 Bielefeld, Germany
© 2026 Algorithmic Cheminformatics, Bielefeld University. Impressum Datenschutz