Machine Learning In Meteorology Professors in Global

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Yee Teh
University of Oxford United Kingdom
machine learning
large scale machine learning
probabilistic learning
deep learning
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Hannah Christensen
University of Oxford United Kingdom
machine learning in climate science
weather modeling
climate modeling
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Martin Weißmann
University of Vienna Austria
computational meteorology
meteorology
weather forecasting
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Bryan Tolson
University of Waterloo Canada
machine learning in hydrological modelling
hydrological modelling
flood forecasting
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Douw Steyn
University of British Columbia Canada
meteorology
mesoscale meteorology
boundary layer meteorology
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning algorithms
machine learning theory
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Magnus Ross
University College London United Kingdom
machine learning
probabilistic machine learning
time series forecasting
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Dale Durran
University of Washington United States of America
machine learning
mountain meteorology
deep learning
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Hina Shaheen
University of Manitoba Canada
machine learning
statistical machine learning
computational modelling
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Zheng Duan
Lund University Sweden
machine learning
hydrological modelling
ecosystem modelling
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Yisong Yue
California Institute of Technology United States of America
machine learning
statistical machine learning
structured machine learning
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Helene Thomsen
Aarhus University Denmark
machine learning
prediction modeling
deep learning
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Josh Hope-collins
Imperial College London United Kingdom
climate modeling
weather prediction
atmospheric models
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Oisin Mac Aodha
University of Edinburgh United Kingdom
machine learning
machine teaching
deep learning
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Alexandra Anderson-frey
University of Washington United States of America
machine learning
mesoscale meteorology
tornado forecasting
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Troy Kimmel
University of Texas at Austin United States of America
severe weather forecasting
aviation meteorology
broadcast meteorology
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Kilian Weinberger
Cornell University Netherlands
machine learning
metric learning
deep learning
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Die Wang
ETH Zurich Switzerland
machine learning
satellite meteorology
radar meteorology
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Reddy Lab
Princeton University United States of America
machine learning
learning in natural systems
learning in artificial systems
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Arno Onken
University of Edinburgh United Kingdom
machine learning
probabilistic modelling
deep learning
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Aram Bahrini
University of Illinois United States of America
machine learning
mathematical modeling
forecasting
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