Gregor W. Schmidt

This paper improves enzyme engineering by combining active learning and experimental screening to efficiently discover high-performing artificial metalloenzymes.

PEPSDI infers model parameters from time-lapse data to identify extrinsic noise sources in yeast nutrient sensing pathways.

This paper develops a multimodal approach to study human retinal organoid development, integrating spatial, transcriptomic, and chromatin accessibility data to create a virtual atlas of retinal development.

This paper introduces an optogenetic platform for single-cell transcription control, achieving mRNA tunability and reduced variability in yeast cells.