Minjia Zhang received his Ph.D. degree from Ohio State University (OSU), in Columbus, Ohio, USA, in 2016. He joined Microsoft Research as a Senior Research Software Development Engineer in 2016.
His research interests lie in the broad area of programmability, performance, and scalability in parallel runtime, database systems, and machine learning systems, with a special emphasis on the intersection of novel machine learning algorithms and AI systems. He has published research papers on major computer science conferences and journals, such as ASPLOS, NeurIPS, ICLR, CIKM, PPoPP, OOPSLA, Usenix ATC, ICPP, TOPC, etc.
Several of Minjia’s work has been applied to Microsoft systems and products, such as Bing, Ads, Azure SQL, Windows, etc., leading to significant latency improvement and cost reduction.
Minjia has served as a program committee member for PLDI, ASPLOS, SPLASH, IPDPS, and as reviewers for PLDI, ASPLOS, NeurIPS, ICLR, IPDPS, Middleware, ICAC, IEEE CLOUD, HiPC, CCPE, WTTM, ec.
Minjia has received several awards including the Distinguished Paper Award and Distinguished Artifact Award in OOPSLA 2015.