Predictive Uncertainty Quantification Professors in Global

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Catherine Gorle
Stanford University United States of America
uncertainty quantification
computational predictions
predictive flow simulations
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Magnus Ross
University College London United Kingdom
uncertainty quantification
probabilistic machine learning
time series forecasting
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David Parker
University of Oxford United Kingdom
probabilistic verification
quantitative analysis
probabilistic model checking
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Bojana Rosic
University of Twente Netherlands
uncertainty quantification
predictive modeling
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Samir Maity
Aalborg University Denmark
uncertainty quantification
predictive modeling
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Douglas Allaire
Texas A&M University United States of America
uncertainty quantification
predictive prescriptive analytics
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Ricardo Baptista
California Institute of Technology United States of America
uncertainty quantification
probabilistic modeling
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Emilio Baglietto
Massachusetts Institute of Technology United States of America
uncertainty quantification
predictive multiphase modeling
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Martin Trapp
KTH Royal Institute of Technology Sweden
uncertainty quantification
probabilistic machine learning
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Yingzhen Li
Imperial College London United Kingdom
uncertainty quantification
probabilistic machine learning
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Subham Sahoo
Aalborg University Denmark
uncertainty quantification
probabilistic machine learning
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Yassine Yaakoubi
Concordia University Canada
uncertainty quantification
probabilistic machine learning
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Geoff Pleiss
University of British Columbia Canada
uncertainty quantification
probabilistic machine learning
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Clayton Deutsch
University of Alberta Canada
uncertainty quantification
geospatial prediction
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Agustinus Kristiadi
Western University Canada
uncertainty quantification
probabilistic machine learning
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Russell Tsuchida
Monash University Australia
uncertainty quantification
probabilistic machine learning
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James Kermode
University of Warwick United Kingdom
quantifying uncertainty
predictive modelling
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Tim Sullivan
University of Warwick United Kingdom
uncertainty quantification
probabilistic numerics
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Ying Jin
University of Pennsylvania United States of America
uncertainty quantification
selective inference
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Felipe De Barros
University of Southern California United States of America
uncertainty quantification
probabilistic risk analysis
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Georg Stadler
New York University United States of America
uncertainty quantification
optimization under uncertainty
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