Society is facing a technological revolution in information processing led by artificial intelligence. Conventional computers based on von Neumann architectures are not well-adapted for processing large scale information in parallel, which is essential for artificial intelligence applications. On the other hand, the neuronal network architecture in the brain is a remarkably efficient platform for information processing. However, it has proven to be extremely difficult to build such architectures using silicon-based electronics due to the limitations of 2D lithographic fabrication methods. To this end, crafting integrated circuits via self-assembly of functional nanomaterials using a “bottom-up” paradigm provides a promising solution to these technological challenges. I am particularly interested in control ovel the charge transport in self-assembled electronically active systems to enable advanced information processing and sensing.