I am an Assistant Professor in the Electrical Engineering Department. My research activities are in Neuromorphic Computing and Engineering and span from the development of efficient models of computation to novel microelectronic architectures, with CMOS and emerging technologies, for both efficient deep learning and brain-inspired algorithms. My long-term research goal is to understand the principles of computation in natural neural systems and apply those for the development of a new generation of energy-efficient sensing and computing technologies. My research outputs find use in several application domains as robotics, machine vision, temporal signal processing, and biomedical signal analysis.