High Performance Linear Algebra Professors in Global

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Elizaveta Rebrova
Princeton University United States of America
numerical linear algebra
high-dimensional probability
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Elizaveta Rebrova
Princeton University United States of America
numerical linear algebra
high-dimensional probability
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Jörg Liesen
Technical University of Berlin Germany
numerical linear algebra
large linear systems
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Anil Damle
Cornell University Netherlands
numerical linear algebra
fast algorithms
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Berkant Savas
Linköping University Sweden
numerical linear algebra
large scale computations
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Debdeep Pati
University of Wisconsin–Madison United States of America
high dimensional network analysis
high-dimensional applications
efficient bayesian computation
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Nikela Papadopoulou
University of Glasgow United Kingdom
performance optimization
high-performance computing (hpc)
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Mahin Salmani
University of New Brunswick Canada
hierarchical linear modeling
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Anita Israni
University of Texas at Austin United States of America
hierarchical linear modeling
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Oscar Leong
University of California Los Angeles United States of America
high-dimensional statistics
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Xiaowu Dai
University of California Los Angeles United States of America
high-dimensional statistics
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Jianqing Fan
Princeton University United States of America
high-dimensional statistics
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Jason Klusowski
Princeton University United States of America
high-dimensional statistics
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Qing Zhou
University of California Los Angeles United States of America
high-dimensional statistics
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Yudong Chen
University of Warwick United Kingdom
high-dimensional statistics
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Xiaohui Chen
University of Southern California United States of America
high-dimensional statistics
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Ning Yang
Cornell University Netherlands
high-dimensional statistics
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Martin Wells
Cornell University Netherlands
high-dimensional statistics
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Ashwin Pananjady
Georgia Institute of Technology United States of America
high-dimensional statistics
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Yuejie Chi
Yale University United States of America
high-dimensional statistics
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Ben Moews
University of Edinburgh United Kingdom
high-dimensional statistics
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