Large Random Combinatorial Structures Professors in Global

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Lei Ying
University of Michigan United States of America
large-scale graph mining
large-scale computing systems
large-scale communication systems
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Nicholas Cook
Duke University Singapore
large deviations theory
random hypergraphs
exponential random graph models
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Elizaveta Rebrova
Princeton University United States of America
high-dimensional probability
randomized algorithms
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Elizaveta Rebrova
Princeton University United States of America
high-dimensional probability
randomized algorithms
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Sean Eberhard
University of Warwick United Kingdom
algebraic combinatorics
additive combinatorics
combinatorial counting problems
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Vladimir Rokhlin
Yale University United States of America
randomized algorithms
fast deterministic randomized algorithms
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Vladimir Rokhlin
Yale University United States of America
randomized algorithms
fast deterministic randomized algorithms
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Adam Harper
University of Warwick United Kingdom
combinatorial probabilistic number theory
additive combinatorics
random multiplicative functions
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Leo Benatar
Georgia Institute of Technology United States of America
randomized algorithms
random graphs
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Ivan Kryven
Utrecht University Netherlands
randomized algorithms
random matrices
random graph representation
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Felix Weilacher
University of California, Berkeley United States of America
computable combinatorics
measurable combinatorics
borel combinatorics
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Galyna Livshyts
Georgia Institute of Technology United States of America
discrete combinatorial geometry
high-dimensional probability
random matrix theory
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Longxiu Huang
Michigan State University United States of America
random tensor analysis
random matrix analysis
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Stephen Gould
Australian National University Australia
structured probabilistic models
probabilistic graphical models
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Roger Ghanem
University of Southern California United States of America
probabilistic multi-scale modeling
probabilistic modeling
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Roger Ghanem
University of Southern California United States of America
probabilistic multi-scale modeling
probabilistic modeling
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Mark Rudelson
University of Michigan United States of America
random graphs
random matrix theory
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Joel Tropp
California Institute of Technology United States of America
randomized linear algebra
random matrix theory
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Roland Dunbrack
Fox Chase Cancer Center United States of America
protein structure prediction
computational structural biology
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Gregory Sorkin
London School of Economics and Political Science United Kingdom
discrete random systems
randomized optimization
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Lianne Bakkum
Vrije Universiteit Amsterdam Netherlands
large scale data analysis
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