Predictive Markers Professors in Global

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Ryan O’neil
Concordia University Canada
predictive maintenance
data-driven prognostic models
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Zheng Liu
University of British Columbia Canada
predictive maintenance
prognostics
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Adji Dieng
Princeton University United States of America
probabilistic modeling
statistical machine learning
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Bryon Aragam
University of Chicago Booth School of Business United States of America
probabilistic modeling
statistical machine learning
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Mikhail Glazunov
Delft University of Technology Netherlands
probabilistic modeling
generative modeling
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Michael Sternberg
Imperial College London United Kingdom
function prediction
protein structure prediction
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Purnamrita Sarkar
University of Texas at Austin United States of America
statistical machine learning
statistical models
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Joanne Kotsopoulos
University of Toronto Canada
biomarkers
prognostic factors
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Fabio Franch
University of New South Wales Australia
preference signals
election forecasting
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Erengul Dodd
University of Southampton United Kingdom
prediction and inference
statistical modeling
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Julian Kooij
Delft University of Technology Netherlands
statistical machine learning
trajectory forecasting
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Thanasis Tsanas
University of Edinburgh United Kingdom
statistical machine learning
pattern recognition
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Joao Santos
University of Twente Netherlands
statistical machine learning
computational models
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
statistical machine learning
shape-constrained prediction
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Pascal Vincent
University of Montreal Canada
statistical models
pattern recognition
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Thomas Swinburne
University of Michigan United States of America
statistical models
forecasting
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Yuqi Gu
Columbia University United States of America
statistical machine learning
probabilistic graphical models
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Uta Noppeney
Radboud University Netherlands
perceptual inference
probabilistic computations
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Ange Nyamen Tato
Laval University Canada
learner behavior prediction
machine learning algorithms
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Jethro Linley
University of Glasgow United Kingdom
predictive analytics
statistical machine learning
statistical modelling
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Qiang Liu
University of Texas at Austin United States of America
generative modeling
probabilistic graphical models
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