Astronomical Machine Learning Professors in Global

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Carmelle Robert
Laval University Canada
astronomical space instrumentation
astronomical space sciences
galactic astronomy
theoretical and computational astrophysics
stellar astronomy and planetary systems
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Gerhardt Meurer
University of Western Australia Australia
space astronomy
optical astronomy
astrophysics
radio astronomy
ultraviolet astronomy
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Steven Allen
Stanford University United States of America
optical astronomy
astrophysics
radio astronomy
x-ray astronomy
millimeter-wave astronomy
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Bruno Binggeli
University of Basel Switzerland
computational astrophysics
theoretical astrophysics
galactic astronomy
extragalactic astronomy
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Douglas Welch
McMaster University Canada
stellar astronomy
astronomical space sciences
galactic astronomy
extragalactic astronomy
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Matias Carrasco Kind
University of Illinois United States of America
astronomy
machine learning
astroinformatics
astrostatistics
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Karen Lee-waddell
University of Western Australia Australia
astronomy
extragalactic astronomy
astrophysics
radio astronomy
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Jonghwan Rhee
University of Western Australia Australia
astronomy
extragalactic astronomy
astrophysics
radio astronomy
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Kaisey Mandel
University of Cambridge United Kingdom
machine learning
astrophysics
time-domain astronomy
astrostatistics
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Laurent Eyer
University of Geneva Switzerland
machine learning
astrometry
astrostatistics
time domain astronomy
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Eric Ford
Pennsylvania State University United States of America
astronomy
astrophysics
astroinformatics
astrostatistics
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Kaisey Mandel
University of Cambridge United Kingdom
astronomical machine learning
astroinformatics
astrostatistics
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Luca Cortese
University of Western Australia Australia
astronomical data processing
extragalactic astronomy
astrophysics
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Hannah Wakeford
University of Bristol United Kingdom
machine learning applications in astronomy
observational astrophysics
astrophysics
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Amir Ebadati Bazkiaei
Macquarie University Australia
astronomical data reduction
space astronomy
astrophysics
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Mario Jurić
University of Washington United States of America
astronomical big data
astrophysics
data science in astronomy
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Loren Robinson
University of Wisconsin–Madison United States of America
big data astronomy
machine learning
extragalactic astronomy
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Hina Shaheen
University of Manitoba Canada
statistical machine learning
machine learning
computational modelling
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Martin Reh
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
astronomy
observational astronomy
astrophysics
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Aaron Boley
University of British Columbia Canada
astronomy
planetary astronomy
astrophysics
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Monica Valluri
University of Michigan United States of America
computational astrophysics
galactic astronomy
extragalactic astronomy
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