Katherine Yelick received her SB, SM, and PhD in computer science from the Massachusetts Institute of Technology, completing her thesis in 1990.
13 Facts About Katherine Yelick
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Katherine Yelick joined the faculty at the University of California, Berkeley in 1991, and was appointed a joint-appointment faculty research scientist at Lawrence Berkeley National Laboratory in 1996.
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Katherine Yelick has done research across a broad range of computing sciences: high performance computing, systems programming, parallel algorithms, and computational genomics.
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Katherine Yelick was a co-author of the first book to explain the language Unified Parallel C and its use.
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Katherine Yelick led the Sparsity project, the first automatically tuned library for sparse matrix kernels, and she co-led the development of the Optimized Sparse Kernel Interface.
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Katherine Yelick served from 2008 to 2012 as the Director of the National Energy Research Scientific Computing Center, the scientific computing center that provides high-performance computing facilities and associated expertise to over 9,000 scientists supported by the US Department of Energy Office of Science.
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Katherine Yelick led a major initiative, Machine Learning for Science, in which researchers developed advanced machine learning tools to accelerate discovery in a wide range of scientific disciplines.
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Since 2021, Katherine Yelick has served as the Vice Chancellor for Research at the University of California, Berkeley.
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From 2012 to 2015, Katherine Yelick received three awards from the Association for Computing Machinery.
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In 2017 Katherine Yelick was elected to both the National Academy of Engineering and to the American Academy of Arts and Sciences.
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Katherine Yelick serves on the executive committee for the Division on Engineering and Physical Sciences of the National Academies of Sciences, Engineering, and Medicine.
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Katherine Yelick is the chair of the NASEM study committee on Post-Exascale Computing for the National Nuclear Security Administration.
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Katherine Yelick is married to University of California, Berkeley professor James Demmel, who is an ACM Fellow and works in computer science and numerical linear algebra.