Virtual
SIAM Conferences

SIAM Conference on Mathematics of Data Science (MDS20)

About the Conference

Planning to tune into MDS20 talks? Remember to check out the schedule; some talks require registration. All talks will happen live online and then be available afterwards on SIAM’s Conference YouTube channel. Additionally, all invited plenaries will be livestreamed on SIAM’s YouTube in order to avoid exceeding registration caps.

This conference will provide a forum to present work that advances mathematical, statistical, and computational methods in the context of data and information sciences and aims to unite researchers who are building mathematical foundations for data science and making principled applications to science, engineering, technology, and society.

MDS20 is held in cooperation with GAMM. (Representative- Gitta Kutyniok, Technische Universität Berlin, Germany)

Organizing Committee Co-Chairs

Gitta Kutyniok, Technische Universität Berlin, Germany
Ali Pinar, Sandia National Laboratories, U.S.
Joel Tropp, California Institute of Technology, U.S.

Organizing Committee

Barbara Engelhardt, Princeton University, U.S.
Mark Girolami, Imperial College London and The Alan Turing Institute, United Kingdom
Ashish Goel, Stanford University, U.S.
Mason Porter, University of California, Los Angeles, U.S.
Bernhard Schölkopf, Max Planck Institute for Intelligent Systems, Germany
Carola Schönlieb, University of Cambridge, United Kingdom
Sara van de Geer, Eidgenössische Technische Hochschule Zürich, Switzerland
René Vidal, Johns Hopkins University, U.S.
Karen Willcox, University of Texas at Austin, U.S.
Stephen Wright, University of Wisconsin-Madison, U.S.
Tong Zhang, Hong Kong University of Science and Technology, Hong Kong

Funding Agency

SIAM and the Conference Organizing Committee wish to extend their thanks and appreciation to the U.S. National Science Foundation and DOE Office of Advanced Scientific Computing Research for their support of this conference.

Thank You to Our Sponsors

Exxon Mobil
John Hopkins
NSA

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