基本信息
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Bio
My main research interests are the application of machine learning and advanced statistical methodologies to astrophysical problems, particularly the variability of quasars and other stochastic time series. This is in part to deal with the unprecedented volumes of data that 21st century astronomy is generating but also to expand our ability to work with complex systems of information beyond simple correlations.
A new project I am involved with is the NSF-funded HDR Institute for Accelerated AI Algorithms for Data-Driven Discovery (A3D3) which aims to provide real-time AI at scale in high energy physics, multimessenger astronomy, and neuroscience.
A new project I am involved with is the NSF-funded HDR Institute for Accelerated AI Algorithms for Data-Driven Discovery (A3D3) which aims to provide real-time AI at scale in high energy physics, multimessenger astronomy, and neuroscience.
Research Interests
Papers共 1394 篇Author StatisticsCo-AuthorSimilar Experts
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MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETYno. 3 (2024): 2559-2576
ASTROPHYSICAL JOURNALno. 1 (2024): 85
ASTROPHYSICAL JOURNAL LETTERSno. 2 (2024): L14
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETYno. 1 (2024): 676-692
arxiv(2024)
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Sebastian Kiehlmann, Philipe Vergara De La Parra, Andrew Sullivan, A. Synani, Ioannis Liodakis,Anthony Readhead,Matthew Graham, Mitchell Begelman,Roger Blandford,Katerina Chatziioannou, Yuanze Ding,Fiona Harrison,
arxiv(2024)
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Matthew R. Graham,Carlos E. Santibáñez-López,Jessica R. Zehnpfennig, Dylan S. Tillman,Barbara Murdoch
Arthropodano. 2 (2024): 119-129
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETYno. 4 (2024): 5880-5889
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETYno. 3 (2024): 8103-8117
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