Lennart Hilbert

This paper uses Bayesian optimisation and graph-based rheology to model DNA materials by linking sequence design to material properties.

The paper uses DNA-nanomotifs to mimic transcriptional cluster dispersal in stem cells, showing that amphiphilic effects control droplet size and shape.

The paper shows that Pol II transcriptional clusters undergo a conserved condensation-dispersal sequence during stem cell differentiation across species.

The paper presents a deep-learning workflow for fluorescence microscopy image reconstruction with quality control, revealing dynamic changes in RNA polymerase II clusters in zebrafish embryos.

The paper shows that noise improves synchronization of a population of oscillators to external signals by increasing sensitivity and speeding up adjustment to phase changes.

The paper develops a stochastic oscillator model to simulate how light entrains zebrafish circadian clocks and applies it to predict effects of pharmacological treatments on entrainment dynamics.

The paper investigates how local interactions spread in one-dimensional systems, finding that their global impact depends on system size and spreading behavior.