Nicolai Engelmann

This study investigates how different DNA damage stimuli regulate p53 target gene promoter activity through stochastic gene expression, revealing stimulus-specific activation and deactivation rates.

This paper improves inverting genetic logic gates by introducing antisense RNA feedback, enhancing their steepness, reducing leakage, and enabling tunable dose-response curves.

This paper introduces Energy Aware Technology Mapping to design genetic logic circuits with energy efficiency and functionality, showing energy efficiency improves by 37.2% over functionally optimized variants.

This work improves genetic design automation by incorporating context effects through thermodynamic models and branch-and-bound techniques, enhancing circuit prediction accuracy.

The paper introduces a method to design robust genetic circuits by adapting electronic design automation techniques to account for structural variants and parameter uncertainty in biological systems.