Yannan (Nellie) Wu

I am a machine learning accelerator modeling engineer at Google. Before joining Google, I obtained my Ph.D. from MIT in computer architecture and systems, advised by Professors Joel Emer and Vivienne Sze. I have extensive research experience modeling and designing energy-efficient hardware accelerators for data and computation-intensive applications (such as deep neural networks), in both academic and industrial settings. My works have led to significant contributions to open-source industrial code bases, publications/tutorials at top-tier conferences (e.g., MICRO, ISCA), and a US patent application.