Shanli Xing is an aspiring researcher and incoming PhD student at Carnegie Mellon University with seven years of hands-on experience in systems and applied research. As an undergraduate at University of Washington CSE, Shanli contributed to the SAMPL group building FlashInfer under Prof. Luis Ceze, and is now visiting CMU’s Catalyst group hosted by Prof. Tianqi Chen. Their work sits at the intersection of systems, performance, and machine learning infrastructure, with practical experience shipping research prototypes. Based in Seattle, Shanli blends rigorous academic training with a track record of collaborative lab contributions across two top computer science programs. A detail that stands out is early international roots—educated in Chongqing before moving to the U.S.—which informs a global perspective on research collaboration. Shanli is active in academic open research communities and positions themselves to translate cutting-edge systems research into scalable tools.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Washington
Doctor of Philosophy, Computer Science, Doctor of Philosophy, Computer Science at Carnegie Mellon University School of Computer Science
High School Diploma, High School Diploma at Chongqing Bashu Secondary School
Contributions:96 pushes, 4 branches, 4 comments in 3 years 10 months
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