Polygenic Prediction Professors in Global

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Tao Ma
University of Southern California United States of America
predictive analytics
time series forecasting
probability
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David Parker
University of Oxford United Kingdom
probabilistic model checking
probabilistic verification
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Yindalon Aphinyanaphongs
New York University United States of America
predictive analytics
translational predictive analytics
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Karima Dyussekeneva
University College London United Kingdom
predictive analytics
forecasting
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Matthias Becker
KTH Royal Institute of Technology Sweden
probabilistic programming
predictable timing behavior
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Burkhard Rost
Technical University of Munich Germany
protein structure prediction
gene structure prediction
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Frank Wood
University of British Columbia Canada
probabilistic programming
deep generative modeling
applied probabilistic machine learning
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Ben Reis
Harvard University United States of America
disease prediction
predictive medicine
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Nagi Gebraeel
Georgia Institute of Technology United States of America
predictive analytics
prognostics
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Aneesh Nunna
Technical University of Denmark Denmark
model predictive control
data-driven predictive methods
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Taylor Brysiewicz
Western University Canada
polynomial equations
probabilistic group theory
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Monika Feldmann
University of Bern Switzerland
predictability
ai-based forecasts
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Nedjeljka Žagar
University of Hamburg Germany
predictability
numerical weather prediction
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Kees Jan Van Garderen
University of Amsterdam Netherlands
forecasting
conditional inference
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Rina Foygel Barber
University of Chicago United States of America
prediction
shape-constrained inference
conformal prediction
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Gard Helle
University of Southern Denmark Denmark
climate predictions
weather predictions
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Michael Rubinstein
Duke University Singapore
polymeric systems
polymer theory
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Zheng Liu
University of British Columbia Canada
predictive maintenance
prognostics
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Søren Vang
Aarhus University Denmark
structural predictions
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Djordje Bajić
Delft University of Technology Netherlands
predictive understanding
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Pierre-marc Jodoin
University of Sherbrooke Canada
uncertainty prediction
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