Large Dimensional Random Matrix Theory Professors in Global

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William Fitzgerald
University of Manchester United Kingdom
random matrix theory
probability theory
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Johannes Alt
University of Bonn Germany
random matrix theory
probability theory
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Kevin Schnelli
KTH Royal Institute of Technology Sweden
random matrix theory
probability theory
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Kevin Schnelli
KTH Royal Institute of Technology Sweden
random matrix theory
probability theory
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Hong-quan Tran
University of Geneva Switzerland
random matrix theory
probability theory
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Michał Dereziński
University of Michigan United States of America
random matrix theory
randomized numerical linear algebra
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Souvik Dhara
Georgia Institute of Technology United States of America
high-dimensional probability statistics
large-scale networks
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John Wheater
University of Oxford United Kingdom
random matrix models
large graph systems
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Khader Khadraoui
Laval University Canada
high-dimensional probabilistic models
statistical theory modeling
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Xiucai Ding
University of California, Davis United States of America
applied random matrix theory
high-dimensional statistics
randomized numerical linear algebra
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Lei Ying
University of Michigan United States of America
large-scale computing systems
large-scale graph mining
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Renjun Ma
University of New Brunswick Canada
random effects modelling
generalized linear models
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Mahdi Cheraghchi
Imperial College London United Kingdom
high-dimensional geometry
randomized computation
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Bryon Aragam
University of Chicago Booth School of Business United States of America
probabilistic modeling
deep generative models
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Annika Heckel
Uppsala University Sweden
random graph theory
probability theory
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Ahmed El Alaoui
Cornell University Netherlands
high dimensional phenomena
probability theory
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Martin Möhle
Eberhard Karls University Tübingen Germany
probabilistic number theory
probability theory
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Morgane Austern
Harvard University United States of America
machine learning theory
probability theory
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Pu Yu
New York University United States of America
random geometry
probability theory
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George Voneiff
Texas A&M University United States of America
large datasets
large-scale production data analysis
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Charles Van Loan
Cornell University Netherlands
algorithms for large-scale data analysis
matrix computations
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