The Society for Industrial and Applied Mathematics (SIAM) Activity Group has selected Giulia Guidi, assistant professor of computer science in the Cornell Ann S. Bowers College of Computing and Information Science, for their 2024 Supercomputing Early Career Prize.
The group awards the prize every two years to an early-career scientist with "outstanding research contributions in the field of algorithms research and development for parallel scientific and engineering computing." Specifically, Guidi is being recognized for her “pioneering works bridging high-performance computing and computational biology.” The prize committee unanimously selected Guidi for the award.
"I am very honored and excited to receive this prize. It is a major milestone in my career, and I would like to thank my mentors and collaborators who have contributed their time, efforts, and enthusiasm to supporting my work," Guidi said. "I look forward to attending SIAM PP in Baltimore next March."
Guidi will publicly accept the award at the 2024 SIAM Conference on Parallel Processing for Scientific Computing conference in Baltimore, where she will present a plenary talk on March 7.
In her work, Guidi develops algorithms and software infrastructures on parallel machines that speed up data processing, increasing the accessibility of high-performance computing in multiple fields, but especially in computational biology. Her work enables researchers to address scientific challenges that involve substantial computational power, such as sequence alignment and genome assembly.
Guidi received her doctorate in computer science from the University of California, Berkeley in 2022. She is a graduate field faculty member in the Department of Computational Biology and the Center for Applied Math at Cornell, and an affiliate faculty member in the Applied Math and Computational Sciences Division at Lawrence Berkeley National Laboratory in the Performance and Algorithms Research Group.
By Patricia Waldron, a writer for the Cornell Ann S. Bowers College of Computing and Information Science.