Mixed Linear Models Professors in Global

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Camila De Souza
Western University Canada
mixed effect models
hierarchical mixture models
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Nadiya Kostyuk
Carnegie Mellon University United States of America
mathematical modeling
computational modeling
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Justin Remais
University of California, Berkeley United States of America
mathematical modeling
computational modeling
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Wim Van Drongelen
University of Chicago United States of America
mathematical modeling
computational modeling
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Anmar Khadra
McGill University Canada
mathematical modeling
computational modeling
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Maarten Hornikx
Eindhoven University of Technology Belgium
mixed reality
numerical models
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Tilda Herrgårdh
Linköping University Sweden
mathematical modelling
machine learning
mechanistic models
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Xiaohua Huang
University of California, San Diego United States of America
computational modeling
deep machine learning
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Benoit Liquet-weiland
Macquarie University Australia
multi-state models
machine learning
bayesian modelling
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Stanford University United States of America
computational modeling
stochastic modeling
logical modeling
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Konstantin Zuev
California Institute of Technology United States of America
applied linear algebra
probability models
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Tomer Galanti
Texas A&M University United States of America
machine deep learning
large language 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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Maria Rodriguez
Uppsala University Sweden
constraint modelling
problem modelling
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Guillermina Eslava
Technical University of Denmark Denmark
mixed linear models
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Emi Tanaka
Australian National University Australia
mixed models
machine learning
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Alan Welsh
Australian National University Australia
mixed models
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Eva Cantoni
University of Geneva Switzerland
mixed models
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Sanjoy Sinha
Carleton University Canada
mixed models
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James Booth
Cornell University Netherlands
mixed models
generalized linear models
machine learning
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