Miao Xu Peng

Xupeng Miao is a distinguished Assistant Professor and Doctoral Supervisor at Peking University, primarily affiliated with the Institute of Data Science and Engineering, and also active within the School of Computer Science. His academic journey includes previous roles as a Kevin C. and Suzanne L. Kahn New Frontiers Assistant Professor in the Department of Computer Science at Purdue University, and as a Post Doctoral Fellow in the Catalyst Group and Parallel Data Lab at Carnegie Mellon University, where he collaborated with Professors Zhihao Jia and Tianqi Chen. He earned his Ph.D. degree in computer science from Peking University under the supervision of Professor Bin Cui, following his Bachelor's degree from Northeastern University. Professor Miao's research focuses broadly on machine learning systems (MLSys), encompassing critical areas such as data management and distributed computing. He is particularly driven by the challenge of building robust, efficient, and scalable systems tailored for the demands of modern machine learning, including the burgeoning field of large language models (LLMs). His work has garnered significant recognition, including an Amazon Research Award, an NSF POSE Award, and an NVIDIA Academic Award, and he is a recipient of a National Young Talent Program. His innovative contributions are evident in publications like "SpotServe," which received an IEEE Micro Top Picks Honorable Mention and a Distinguished Artifact Award at ASPLOS 2024, and recent acceptances such as FlexLLM at NSDI 2026, AdaServe at EuroSys 2026, and Mirage at OSDI 2025, demonstrating his consistent impact on cutting-edge systems research. As a mentor, Professor Miao is actively seeking highly motivated Postdoc, Ph.D., Master students, and interns who are passionate about developing systems for machine learning. He emphasizes a research-intensive environment, encouraging prospective students to review his FAQs and submit comprehensive applications, including their CV and academic transcripts, reflecting a commitment to fostering future leaders in the field through rigorous and supportive guidance. He is set to co-chair Artifact Evaluation for KDD 2025 and will launch a GenAI Catalyst Tutorial at ASPLOS 2025 & EuroSys 2025.