PsyLab primarily focuses on digital and mixed-signal circuits and architectures for information processing. Recent areas of emphasis include biomedical electronics and energy-efficient computing in current and emerging technologies. We characteristically exploit observations at the system and architecture level to arrive at new, creative solutions to important problems. This common thread is visible across our work on neural (ECoG) recording architectures, computationally locked PLLs, machine-learning acclerators, next-generation clocking architectures, voltage regulation, sensing, and signal processing problems. Identifying the connections that exist across different domains of Electrical and Computer Engineering have allowed us to demonstrate state-of-the-art solutions in these areas.