Jean Disset

This paper introduces a neuromorphic framework for programmable mammalian cells, enabling the design of analog circuits through generative programming and biomorphic neural networks.

The paper introduces a black-box algorithm to optimize stochastic DNA synthesis protocols for generating samples from generative sequence models, showing significant improvements in hit rates for protein engineering.