Predictive Separations Professors in Global

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Michael Sternberg
Imperial College London United Kingdom
function prediction
protein structure prediction
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Brad Calder
University of California, San Diego United States of America
value prediction
critical path prediction
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Zachary Smith
Massachusetts Institute of Technology United States of America
solvent separations
gas separations
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Ivo Dinov
University of Michigan United States of America
predictive healthcare analytics
statistical inference
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Sergey Ovchinnikov
Massachusetts Institute of Technology United States of America
protein structure prediction
differentiable programming
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Alfred Hero
University of Michigan United States of America
predictive medicine
statistical machine learning
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Mert Sabuncu
Cornell University Netherlands
probabilistic modeling
statistical inference
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Cosma Shalizi
Carnegie Mellon University United States of America
nonparametric prediction
statistical inference
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Krzysztof Dzieciolowski
Concordia University Canada
predictive models diagnostics
statistical inference
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Nick Whiteley
University of Bristol United Kingdom
probabilistic modelling
statistical inference
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Mikhail Glazunov
Delft University of Technology Netherlands
probabilistic modeling
generative modeling
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
shape-constrained prediction
statistical machine learning
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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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Alexandre Bouchard-côté
University of British Columbia Canada
probabilistic modelling
statistical machine learning
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Alioune Ngom
University of Windsor Canada
protein sequence structure prediction
qualitative probabilistic networks
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Björn Wallner
Linköping University Sweden
protein structure prediction
computational modeling
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Guotao Ma
University of Warwick United Kingdom
probabilistic analysis
computational modeling
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Rina Foygel Barber
University of Chicago United States of America
prediction
conformal prediction
statistical inference
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Glen Martin
University of Manchester United Kingdom
multivariate risk prediction
clinical prediction models
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Hina Shaheen
University of Manitoba Canada
computational modelling
statistical machine learning
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