About Me

I am Mengdi Wu (吴梦迪), a third-year Ph.D. student in the Computer Science Department at Carnegie Mellon University, advised by Zhihao Jia. I received my undergraduate degree from the Yao Class at Tsinghua University in 2023. I am honored to be supported by the Amazon Fellowship for my research.

I work on machine learning systems, with a focus on ML compilers and superoptimization. I am interested in understanding the computational structure of machine learning applications and developing techniques to make them more efficient and reliable.

Research Experience

2022.02~2022.08	I visited CMU as a research intern, where I worked with Zhihao Jia on accelerating distributed DL training.
2020.11~2021.11	I joined ARChip Lab led by Kaisheng Ma at Tsinghua University, and worked on designing architectures and schedulers for DNN accelerators.

Awards

Publications