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fix links to Yana and Jim
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pelmer committed Sep 20, 2024
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Expand Up @@ -36,7 +36,7 @@ Heading into her senior year, Goyal then successfully applied to IRIS-HEP as a s
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[Jim Pivarski](https://phy.princeton.edu/people/jim-pivarski&sa=D&source=editors&ust=1726773420305417&usg=AOvVaw1M-yM0EC_0nWAcZ9ugng33), a computational physicist at Princeton, and [Ianna Osborne](https://researchcomputing.princeton.edu/about/people-directory/ianna-osborne&sa=D&source=editors&ust=1726773420305755&usg=AOvVaw1lDX8hdTcdgrNTEdgh2tjF), a research software engineer at PICSciE and at the European Organization for Nuclear Research (CERN), mentored Goyal over her IRIS-HEP terms. Goyal worked on a special type of software library called an Awkward Array, which particle physicists at CERN, as well as scientists worldwide from various disciplines, use when they want to analyze vast amounts of data. “Scientific data can be more complex than simple data,” says Goyal. “Awkward Arrays provide a faster and efficient approach to handle complex nested data.”
[Jim Pivarski](https://phy.princeton.edu/people/jim-pivarski), a computational physicist at Princeton, and [Ianna Osborne](https://researchcomputing.princeton.edu/about/people-directory/ianna-osborne), a research software engineer at PICSciE and at the European Organization for Nuclear Research (CERN), mentored Goyal over her IRIS-HEP terms. Goyal worked on a special type of software library called an Awkward Array, which particle physicists at CERN, as well as scientists worldwide from various disciplines, use when they want to analyze vast amounts of data. “Scientific data can be more complex than simple data,” says Goyal. “Awkward Arrays provide a faster and efficient approach to handle complex nested data.”

Initially, her IRIS-HEP gap year project at CERN focused on furthering Awkward Array work she had continued pursuing as a software developer at the University of Colorado in February 2023, during her last semester of studies. That developer work overlapped with the new IRIS-HEP project, which started in June 2023. In October 2023, Goyal then shifted gears to a similar project developing graphics processing unit (GPU) support for Awkward Arrays. “My main task was to add the CUDA kernels to make Awkward Array functions work for GPUs,” she says.

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