Bio: Chandrika Kamath is a data scientist at the Lawrence Livermore National Laboratory (LLNL), where she uses her multi-disciplinary expertise to analyze data from scientific simulations, experiments, and observations in domains ranging from additive manufacturing to astronomy and plasma physics. She received her B.Tech degree in Electrical Engineering from the Indian Institute of Technology, Bombay in 1981, and her M.S. and Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 1984 and 1986, respectively. She then joined Digital Equipment Corporation, where she designed and developed mathematical libraries for high-performance systems. A chance introduction to data mining algorithms for search engines motivated her to consider the application of these techniques to scientific data, an interest she pursued on joining LLNL in 1997. She holds six patents in data mining and received an R&D 100 award for the Sapphire Scientific data mining software. Chandrika is a 2023 Fellow of the Society for Industrial and Applied Mathematics (SIAM).
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