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Luka Govedič is a PhD student at NYU's Courant Institute of Mathematical Sciences, advised by Sai Qian Zhang. Their research focuses on programming abstractions for performance, portability, and usability in machine learning and scientific computing, spanning programming languages, compilers, and formal methods. They are a maintainer of vLLM, contributing to model performance, compilation, kernel fusion, hardware portability, and the project's compilation infrastructure. Prior to NYU, they worked at Neural Magic (later acquired by Red Hat) on sparse large language model inference across GPU and CPU systems. They previously earned an M.Eng in EECS from MIT with a thesis on parallel loops in OpenCilk.
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