Di Wu is an incoming tenure-track assistant professor in the Department of ECE at the University of Central Florida. He received his PhD from the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison in the USA, and his Bachelor's and Master's degrees from Fudan University in China. His research interests are in emerging areas of computer architecture, such as unary, approximate, and neuromorphic computing. His work at Cerebras Systems has been commercialized within the Cerebras Wafer-Scale Engines for deep learning. His research has been published in premier conferences on computer architecture, VLSI, and EDA, including ISCA, HPCA, DAC, ISLPED, etc. He is a recipient of the Wisconsin Distinguished Graduate Fellowship 2022, and his research was selected as a Qualcomm Innovation Fellowship Finalist in 2019 and awarded as an IEEE Micro Top Pick in 2021. He has also been recognized with the Gerald Holdridge Outstanding Teaching Assistant Award from the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison and nominated for the campus-wide Capstone PhD Teaching Award by the department.