基本信息
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Bio
Dr. Aravkin’s work focuses on large scale optimization, machine learning and data science. Dr. Aravkin has been working with IHME to develop the Evidence Score model, which requires the development and implementation of entirely new modes and algorithms, as well as emerging methodologies. His work on fusing physics-based and data-driven models allows him to collaborate broadly across campus, as well as with researchers in many universities and in industry.
Research Interests
Papers共 218 篇Author StatisticsCo-AuthorSimilar Experts
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arxiv(2024)
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L.G. Fleszar, A.S. Bryant, C.O. Johnson, B.F. Blacker,A. Aravkin, M. Baumann, L. Dwyer-Lindgren, Y.O. Kelly,K. Maass, P. Zheng,G.A. Roth
Obstetric Anesthesia Digestno. 2 (2024): 57-59
Ariane Ducellier, Alexander Hsu, Parkes Kendrick, Bill Gustafson, Laura Dwyer-Lindgren, Christopher Murray,Peng Zheng,Aleksandr Aravkin
arxiv(2024)
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Nature medicineno. 1 (2024): 149-167
Fiona Silke, Lauren Earl, Johnathan Hsu,Mark M Janko,Jonah Joffe, Aishe Memetova,Danielle Michael,Peng Zheng,Aleksandr Aravkin,Christopher J L Murray,Marcia R Weaver
The Lancet Global Healthno. 7 (2024): e1159-e1173
Nature communicationsno. 1 (2024)
arxiv(2024)
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OBSTETRICAL & GYNECOLOGICAL SURVEYno. 1 (2024): 17-19
JAMA NEUROLOGYno. 4 (2024): 394-404
Peng Zheng, Nahom Worku,Marlena Bannick, Joseph Dielemann,Marcia Weaver,Christopher Murray,Aleksandr Aravkin
arxiv(2024)
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Author Statistics
#Papers: 231
#Citation: 7540
H-Index: 39
G-Index: 82
Sociability: 8
Diversity: 3
Activity: 138
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