Dr Michael T. Barros

Engineering Biological Computation through Bioconvergence

Michael T. Barros investigates how living neural systems represent, transmit, transform and store information across molecular, cellular and network scales. His research integrates mechanistic modelling, neuron–astrocyte biology, network topology, biofabrication, electrophysiology and bioelectronic interfaces to identify the principles governing biological computation.

Living networks exhibit rich and adaptive dynamics, but their computational functions cannot yet be designed, reproduced or controlled reliably. His research uses bioconvergence to connect biological mechanisms with engineered structure, experimental measurement and digital prediction. By making biological information processing measurable, predictable and controllable, his research seeks to improve models of neurological dysfunction, guide more precise neural technologies and enable new forms of adaptive computation. Its long-term objective is to develop biohybrid systems in which living networks, electronic interfaces and computational models operate as a coupled adaptive system served to improve patient care through precision biomedicine.

Research · Publications · UC² Laboratory · Institutional profile