Dong Xie is an assistant professor at Penn State University specializing in building high-performance data systems for real-world large-scale workloads. He combines deep research on modern hardware-aware databases, distributed and main-memory systems, stream processing, approximate query processing, and spatiotemporal data with practical work on data privacy and system security. His trajectory includes a Ph.D. from University of Utah, multiple industry research internships at Microsoft and Alibaba, and awards such as the 2023 Google Research Scholar Award and 2018 Microsoft Research PhD Fellowship. Dong’s systems-focused research often ties algorithmic innovation to implementation—e.g., designing storage engines and memory-governance mechanisms for multi-tenant cloud databases. He has a record of translating thesis-level ideas into prototypes and benchmarked systems, reflecting a hands-on approach to bridging theory and production challenges. Based in Bethlehem, PA, he brings 14 years of experience across academia and industry in building and evaluating scalable data platforms.
14 years of coding experience
7 years of employment as a software developer
The University of Utah
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Shanghai Jiao Tong University
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Dong Xie - Assistant Professor at Penn State University