Data Science

Data Science, SIAM’s newest book series, covers the mathematical, computational, and scientific aspects of data science. The series will publish high-impact research monographs, in-depth essays on emerging trends, tutorials with a broad reach, state-of-the-art surveys, scholarly research retrospectives, and textbooks.

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Editor-in-Chief Ilse Ipsen North Carolina State University

Acquisitions Editors Paula Callaghan Elizabeth Greenspan

 

Editorial Board

Amy Braverman Jet Propulsion Laboratory	Haesun Park Georgia Institute of Technology
Baoquan Chen Peking University	Ali Rahimi Google
Amr El-Bakry ExxonMobil Upstream Research	David P. Woodruff Carnegie Mellon University
Nicholas J. Higham University of Manchester	Hua Zhou University of California, Los Angeles
Michael Mahoney University of California at Berkeley

 

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