My research interest is in systems, high-performance computing, and big data analytics. I currently work on deep learning systems, with a focus on compiling and optimizing deep learning models for efficient training and inference. Our mission is to bridge the high-level models from various frameworks and low-level hardware platforms including CPUs, GPUs, and AWS homegrown accelerators, so that different models can execute in high-performance on different devices. My team on one hand delivers solid solutions and systems to serve both external and internal usages, on the other hand explores the cutting-edge techniques to conduct research and publish in top-tier systems conferences.