Calin A. Belta

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 magnetic microrobot platform to spatiotemporally control cell differentiation by delivering biological signals to target cells.

The paper develops a method to infer biomolecular models from qualitative behaviors using Signal Temporal Logic and genetic algorithms, with gradient-based parameter estimation.

This paper develops Mazebots and cellbots for navigating dense mammalian environments, demonstrating their biocompatibility and potential for biomedical applications.

The paper introduces a computational method to design genetic circuits that control the formation of multicellular shapes from a single cell in human cells.