Giulia Guidi is an assistant professor in the Department of Computer Science at Cornell University. She received her Ph.D. in computer science from UC Berkeley. Guidi works in the field of high-performance computing (HPC) for large-scale computational sciences and leads the Cornell HPC group. She is interested in developing algorithms and software infrastructures on parallel machines to speed up data processing without sacrificing programming productivity, and to make high-performance computing more accessible. She is also a big fan of sparse linear algebra and believed in sparse linear algebra as a computational abstraction for tackling large-scale computational challenges.
Guidi has received the 2024 SIAG/Supercomputing Early Career Prize, the 2023 ISSNAF Young Investigator Mario Gerla Award, and the 2020 SIGHPC Computational & Data Science Fellowship.
She is an affiliate faculty in the Applied Math and Computational Sciences Division (Performance and Algorithms Group) at Lawrence Berkeley National Laboratory and a graduate field faculty in the Department of Computational Biology, the Department of Electrical and Computer Engineering, and the Center for Applied Math at Cornell.