Machine Learning In Astronomy Professors in Global

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Professor

Carmelle Robert

Laval University Canada

galactic astronomy

astronomical space instrumentation

theoretical and computational astrophysics

stellar astronomy and planetary systems

cosmology and extragalactic astronomy

astronomical space sciences

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Professor

Gerhardt Meurer

University of Western Australia Australia

space astronomy

optical astronomy

radio astronomy

ultraviolet astronomy

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Professor

Steven Allen

Stanford University United States of America

optical astronomy

x-ray astronomy

radio astronomy

millimeter-wave astronomy

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Professor

Maria Cunningham

University of New South Wales Australia

radio astronomy

millimetre astronomy

computational astrophysics

molecular line astronomy

sub-millimetre astronomy

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Professor

Karen Lee-waddell

University of Western Australia Australia

radio astronomy

extragalactic astronomy

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Professor

Jonghwan Rhee

University of Western Australia Australia

radio astronomy

extragalactic astronomy

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Professor

Laurent Drissen

Laval University Canada

stellar astronomy

galactic astronomy

extragalactic astronomy

instrumentation for astronomy and space

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Professor

Vikram Dwarkadas

University of Chicago United States of America

galactic astronomy

solar system astronomy

computational astrophysics

particle high energy astronomy

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Professor

Bruno Binggeli

University of Basel Switzerland

galactic astronomy

computational astrophysics

extragalactic astronomy

theoretical astrophysics

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Professor

Douglas Welch

McMaster University Canada

stellar astronomy

galactic astronomy

extragalactic astronomy

astronomical space sciences

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Professor

Matias Carrasco Kind

University of Illinois United States of America

machine learning

astroinformatics

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Professor

Vicky Kalogera

Northwestern University United States of America

machine learning

astrophysical data analysis

multi-messenger astrophysics

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Professor

Hannah Wakeford

University of Bristol United Kingdom

machine learning applications in astronomy

observational astrophysics

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Professor

Kaisey Mandel

University of Cambridge United Kingdom

astronomical machine learning

statistical applications in time-domain astronomy

astroinformatics

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Professor

Loren Robinson

University of Wisconsin–Madison United States of America

big data astronomy

machine learning

extragalactic astronomy

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Professor

Masao Sako

University of Pennsylvania United States of America

data analysis in astronomy

machine learning

observational cosmology

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Professor

Daniela Huppenkothen

University of Amsterdam Netherlands

statistical methods in astronomy

time-domain astronomy

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Professor

Jessica Sorrell

Johns Hopkins University United States of America

machine learning algorithms

machine learning

machine learning theory

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Professor

Alexey Nekrasov

Friedrich-Alexander-Universität Erlangen-Nürnberg Germany

data analysis in astronomy

astronomical observations

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Professor

Trystan Lambert

University of Western Australia Australia

optical astronomy

radio astronomy

extragalactic astronomy

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Professor

Aaron Boley

University of British Columbia Canada

planetary astronomy

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