Lewis Grozinger

This paper designs genetic networks for stochastic and probabilistic computing in living cells, introducing concepts like bit-streams and p-bits to better model biological information processing.

This study reprograms genetic circuits in bacteria by spatially positioning circuit components to optimize performance and enable new functions without altering DNA sequences.

This paper designs a hybrid genetic and electrogenetic toggle switch and identifies conditions for bistability through computational simulations.

The paper characterizes 20 genetic NOT inverters across 7 bacterial contexts, showing context-dependent behaviors that enhance circuit compatibility and interoperability in synthetic biology.

FlowScatt removes volume-dependency in flow cytometry fluorescence measurements by recalculating fluorescence based on scattering-derived cell volume.