Lita is a Hardware Engineer working in the AI and Advanced Architectures group at Microsoft. She received her B.S. degree from Caltech and her Ph.D. in Electrical Engineering at Stanford University. Her research interests are in hardware design for deep learning and AI algorithms. In particular, her work focuses on edge computing devices and bringing intelligence to mobile and embedded platforms using a combination of hardware-software co-design techniques. Her thesis explores the memory design implications for energy-efficient AI chips (using digital and mixed-signal circuit design), while exploiting the inherent error resilience of Convolutional Neural Networks for image classification tasks.