Guo’s research interests include large-scale optimization for developing accurate ionic models of cardiac myocytes and neural cells, and biomedical signal processing. He is currently working in GSBmE to develop advanced electrical stimulation strategies for a visual prosthesis.
Guo has extensive experience in computational modelling since completing his Master degree in cardiac modelling and his PhD in simulating electrical activity in the mammalian retina. Over the past several years he has expanded his research skills greatly from that of theoretical modelling to also include retinal neuroscience. Guo has recently performed patch-clamp experiments in retinal tissue to validate his sophisticated computational models. With this deep insight he has proposed a new stimulation scheme using high frequency waveforms that will allow different classes of retinal ganglion cells (the ON and OFF pathways) to be selectively excited. This has enormous potential in the design of visual prostheses as it will allow more realistic recreation of the visual scene – previously not possible with current state-of-the-art retinal neuroprostheses.