Chris is interested in multimodal, high-throughput data acquisition, experimental control and automation for neuroscience. For electrophysiology, this means extracellular multi-electrode arrays, control systems for animal behavior, and automated spike-sorting. For microscopy, this means light-sheet, light-field, and scanning two-photon techniques, along with computational imaging and data analysis. Most projects involve pushing the limits of data transfer, storage, and processing.