Bayesian Inverse Modelling Professors in Global

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Gerard Gorman
Imperial College London United Kingdom
multi-scale modeling
multi-physics modeling
inversion optimization
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Marcial Gonzalez
Purdue University United States of America
predictive modeling
multi-scale modeling
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Da Zhao
University of Melbourne Australia
machine learning
predictive modeling
statistical modeling
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Polina Golland
Massachusetts Institute of Technology United States of America
predictive modeling
statistical modeling
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Charbel Farhat
Stanford University United States of America
bayesian optimization
mathematical models
probabilistic machine learning
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Yuxin Chen
University of Pennsylvania United States of America
machine learning theory
statistical machine learning
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Guang Lin
Purdue University United States of America
stochastic multiscale modeling
predictive modeling
statistical machine learning
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Syed Ahmed
Brock University Canada
predictive modeling
statistical machine learning
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Guang Lin
Purdue University United States of America
stochastic multiscale modeling
predictive modeling
statistical machine learning
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Syed Ahmed
Brock University Canada
predictive modeling
statistical machine learning
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Nethal Jajo
University of Sydney Australia
stochastic system modelling
statistical machine learning
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Brani Vidakovic
Texas A&M University United States of America
bayesian statistical methodology
multiscale statistical modeling
statistical modeling
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Lisa Hellerstein
New York University Tandon School of Engineering United States of America
machine learning theory
stochastic combinatorial optimization
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Guowei Ma
University of Western Australia Australia
multi-scale modelling
multi-physics modelling
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Marco Pizzolato
Technical University of Denmark Denmark
biophysical modeling
inverse problems
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Huan Lei
Michigan State University United States of America
stochastic simulations
multi-scale modeling
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Mehrdad Mahdavi
Pennsylvania State University United States of America
large-scale machine learning
computational statistical machine learning
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Michael Pyrcz
University of Texas at Austin United States of America
machine learning
multivariate modeling
spatiotemporal modeling
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Guillaume Bal
University of Chicago United States of America
inverse transport theory
inverse problems
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Guillaume Bal
University of Chicago United States of America
inverse transport theory
inverse problems
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Guillaume Bal
University of Chicago United States of America
inverse transport theory
inverse problems
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