[Statlist] ETH-FDS -- Stiefel Lecture 2026 with Joel A. Tropp on 5 May 2026, ETH Zurich, HG E 1.2

[Maurer Letizia]

ETH Foundations of Data Science (ETH-FDS) announces and invites you to the annual Stiefel Lecture.

The Stiefel Lecture 2026 will be given by Prof. Joel A. Tropp, Caltech, USA, on

Titel: Applied Random Matrix Theory

Abstract: Random matrices now play a role in many parts of computational mathematics. To advance these applications, it is desirable to have tools that are flexible, easy to use, and powerful. Over the last 25 years, researchers have developed a remarkable family of results, called matrix concentration inequalities, that meet the criteria. This lecture offers an invitation to the field of matrix concentration and its multifarious applications.

Tuesday, 5 May 2026, 17:15 - 18:15
ETH Zurich, HG E 1.2

The talk will be followed by an apero.

The Stiefel Lecture has been created in honor of Eduard Stiefel (1909-1978) who was professor of mathematics at ETH Zürich. Stiefel has been the driving force for establishing "electronic scientific computing" with ERMETH (Elektronische Rechenmaschine der ETH). This became a landmark in computational and mathematical sciences with a huge impact to a broad range of applications in engineering and natural science. Stiefel has made fundamental and lasting contributions in mathematics, including the introduction of the Stiefel-Whitney classes, the Stiefel manifold and the conjugate gradient method. Stiefel advised 63 PhD students, many of whom became leaders in their field.

We cordially invite you to this year's Stiefel Lecture with Joel A. Tropp and look forward to meeting you there.

With kind regards,

Peter Bühlmann
ETH Foundations of Data Science

https://math.ethz.ch/sfs/eth-foundations-of-data-science.html
https://math.ethz.ch/sfs/news-and-events/stiefel-lectures.htm
http://www.ethistory.ethz.ch/rueckblicke/departemente/dinfk/forschung/
https://library.ethz.ch/sammlungen-und-archive/kurzportraets/eduard-stiefel-1909-1978.html
https://math.ethz.ch/sfs/eth-foundations-of-data-science/events/stiefel-lecture.html


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