Bayesian Scientific Computing Professors in Global

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Prasanth Nair
University of Toronto Institute for Aerospace Studies Canada
computational science
bayesian model calibration
computational materials science
computational modeling
computational neuroscience
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Yanan Fan
University of New South Wales Australia
bayesian computation
approximate bayesian computation
bayesian inference
bayesian nonparametrics
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Debdeep Pati
University of Wisconsin–Madison United States of America
efficient bayesian computation
bayesian methods
bayesian graphical models
approximate bayesian methods
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Scott Schmidler
Duke University Singapore
bayesian computation
computational biophysics
computational biology
probabilistic machine learning
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Alexander Hartemink
Duke University Singapore
bayesian networks
bayesian statistics
computational biology
computational neurobiology
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Georg Stadler
New York University United States of America
scientific computing
scientific machine learning
bayesian inverse problems
computational earth science
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François Caron
University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
statistical machine learning
computational statistics
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John Lau
University of Western Australia Australia
bayesian statistics
statistical computing
bayesian nonparametric statistics
computational statistics
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Benjamin Zwick
University of Western Australia Australia
computational biophysics
computational science
computational biomechanics
mathematical modelling
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Trevor Campbell
University of British Columbia Canada
bayesian theory
bayesian inference
bayesian nonparametrics
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Peter Mueller
University of Texas at Austin United States of America
bayesian bioinformatics
computational methods in bayesian inference
nonparametric bayesian inference
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Marco Grzegorczyk
University of Groningen Netherlands
bayesian networks
bayesian statistics
computational statistics
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Kd Dang
University of Western Australia Australia
bayesian inference
bayesian statistics
computational statistics
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Johan Kwisthout
Radboud University Netherlands
bayesian networks
stochastic computing
approximate bayesian inference
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Kaisey Mandel
University of Cambridge United Kingdom
bayesian modeling
statistical computation
astronomical machine learning
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Yuling Yao
University of Texas at Austin United States of America
bayesian statistics
statistical computing
statistical machine learning
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Theo Damoulas
University of Warwick United Kingdom
bayesian statistics
bayesian nonparametrics
probabilistic machine learning
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Alexey Shevyakov
University of Saskatchewan Canada
numerical scientific computation
symbolic scientific computation
mathematical modelling
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Sonia Jain
University of California, San Diego United States of America
bayesian biostatistics
statistical computing
nonparametric bayesian models
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Geoff Nicholls
University of Oxford United Kingdom
bayesian statistical methods
applied bayesian inference
computational statistics
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Yee Teh
University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
computational statistics
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