Daniel Zielinski

Daniel Zielinski is a Consultant Lecturer at the Novo Nordisk Foundation Center for Biosustainability within the Technical University of Denmark (DTU). His research focuses on Synthetic Biology, Systems Biology, and Microbiology, with applications in Biotechnology and Bioinformatics.

Research Contributions: Zielinski's work addresses microbial strain design, particularly for Escherichia coli and probiotic Lactobacillus reuteri. His recent publications highlight advancements in metabolic engineering, transcriptional regulatory networks, and pangenome knowledgebase (PanKB). He employs machine learning and transcriptomics to optimize biocatalysts and study bacterial persistence.

Publications & Trends: Zielinski's 2025 articles focus on Escherichia coli metabolic coupling and pangenome data integration, while his 2024 work explores probiotic network modeling. Earlier studies (2021) emphasize data-driven strain design via adaptive evolution mutational data.

Laboratory & Collaborations: He is affiliated with the Novo Nordisk Foundation Center for Biosustainability, collaborating with researchers like Bernhard Palsson and Paul Feist on microbial genome engineering and biocatalyst optimization.