Chandrika Kamath is a computer scientist at Center for Applied Scientific Computing at the Lawrence Livermore National Laboratory, where she has led the Sapphire project in scientific data mining since 1998. Specifically, her research investigates the practical applications of large-scale data mining and pattern recognition, focusing on topics such as image and video processing, feature extraction, dimension reduction, and classification and clustering algorithms. This software has been used in the analysis of data from diverse applications including remote sensing, astronomy, experimental physics, fluid-mix simulations, surveillance video, climate simulations, and information retrieval.

Prior to joining LLNL in 1997, Chandrika was a Consulting Software Engineer at Digital Equipment Corporation (DEC), developing high performance mathematical software for DEC Alpha systems. She was responsible for the design, implementation, optimization, and parallelization of the sparse linear system solvers in the Digital Extended Math Library (DXML). Dr. Kamath earned her Ph.D. in 1986 and her M.S. in 1984, both in Computer Science from the University of Illinois at Urbana-Champaign and her B.Tech. from the Indian Institute of Technology, Bombay, in Electrical Engineering in 1981. She has four patents in data mining, with three others pending. She co-edited the book on "Data Mining for Scientific and Engineering Applications" which was published in 2001.