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