Statistical Applications In Time Domain Astronomy Professors in Global

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Kaisey Mandel
University of Cambridge United Kingdom
statistical applications in time-domain astronomy
astrostatistics
astronomical machine learning
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Daniela Huppenkothen
University of Amsterdam Netherlands
statistical methods in astronomy
time-domain astronomy
astronomy
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Gerhardt Meurer
University of Western Australia Australia
space astronomy
optical astronomy
radio astronomy
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Albert Zijlstra
University of Manchester United Kingdom
optical astronomy
observational astronomy
radio astronomy
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Laurent Eyer
University of Geneva Switzerland
time domain astronomy
astrostatistics
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Kaisey Mandel
University of Cambridge United Kingdom
time-domain astronomy
astrostatistics
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Steven Kahn
University of California, Berkeley United States of America
time-domain astronomy
astronomical instrumentation
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Raymond Wong
Texas A&M University United States of America
statistical applications
astronomy
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Dmitry Savransky
Cornell University Netherlands
statistical analysis of large astronomical surveys
machine learning in astronomy
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Martin Baláž
University of Vienna Austria
statistical analysis in astrophysics
astrophysical data processing
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Poshak Gandhi
University of Southampton United Kingdom
time-domain astrophysics
data-intensive astronomy
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Rosie Ching
Singapore Management University Singapore
statistical applications
statistical experiments
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Alexey Nekrasov
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
data analysis in astronomy
astronomical observations
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Chris Genovese
Carnegie Mellon University United States of America
spatial statistics
astronomy
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Laurent Drissen
Laval University Canada
stellar astronomy
galactic astronomy
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Douglas Welch
McMaster University Canada
stellar astronomy
galactic astronomy
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Alison Sills
McMaster University Canada
stellar astronomy
galactic astronomy
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Kirsty Hassall
University of Warwick United Kingdom
spatial statistics
applied statistics
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Amir Ebadati Bazkiaei
Macquarie University Australia
space astronomy
astronomical data reduction
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Philipp Otto
University of Glasgow United Kingdom
spatial statistics
spatiotemporal statistics
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Mario Jurić
University of Washington United States of America
data science in astronomy
astronomical big data
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