Scalable Computational Methods Professors in Global

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Ingemar André
Lund University Sweden
computational methods
high-throughput methods
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Catherine Forbes
Monash University Australia
computational methods
robust statistical methods
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Torsten Suel
New York University Tandon School of Engineering United States of America
scalable information retrieval
distributed computation
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Jason Cong
University of California Los Angeles United States of America
highly scalable algorithms
programmable systems
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Wu-sheng Lu
University of Victoria Canada
numerical optimization methods
mathematical quantitative methods
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Felix Weilacher
University of California, Berkeley United States of America
computable combinatorics
measurable combinatorics
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Chiheb Ben Hammouda
Utrecht University Netherlands
numerical machine learning methods
hierarchical approximation methods
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Annie Dupuis
University of Toronto Canada
multivariate methods
graphical methods
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Eva Vrangbæk
Aarhus University Denmark
data-intensive methods
computational research
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Lars Karlsson
Umeå University Sweden
matrix computations
efficient algorithms
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Yian Ma
University of California, San Diego United States of America
scalable inference methods
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Shaunak Bopardikar
Michigan State University United States of America
scalable computation optimization
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Shaunak Bopardikar
Michigan State University United States of America
scalable computation optimization
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Philipp Leitner
Chalmers University of Technology Sweden
scalable systems
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Barton Miller
University of Wisconsin, Madison United States of America
scalable systems
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Surbhi Goel
University of Pennsylvania United States of America
scalable systems
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Xi Chen
New York University United States of America
scalable systems
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Lance Manuel
University of Texas at Austin United States of America
computational methods
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Michelle Le Roux
University of Melbourne Australia
computational methods
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Zhanle Wang
University of Regina Canada
computational methods
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Peter Barnett
University of Melbourne Australia
computational methods
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