Stiefel lectures
ETH-FDS organizes the Stiefel lectures starting in November 2019.
The Stiefel Lecture has been created in honor of Eduard Stiefel (1909-1978) who was professor of mathematics at ETH Zürich. Stiefel was the driving force for establishing "electronic scientific computing" with ERMETH (Elektronische Rechenmaschine der ETH). This became a landmark in computational and mathematical sciences that impacted a broad range of applications in engineering and natural science. Stiefel 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 fields.
Stiefel lectures, listed by year:
Stiefel Lecture 2023
"Data thinning and its applications"
Daniela M. Witten, University of Washington,
ETH Zurich, 28 November 2023
Stiefel Lecture 2022
"Synthetic data and its privacy"
Roman Vershynin, University of California, Irvine,
ETH Zurich, 5 May 2022
Stiefel Lecture 2020
"Balancing covariates in randomized experiments"
Daniel A. Spielman, Yale University,
ETH Zurich, 7 October 2022.
Stiefel Lecture 2019 (Inauguration Lecture)
"Deepnet Spectra and the two cultures of data science "
David Donoho, Stanford University
ETH Zurich, 8 Noveber 2019
Further information about upcoming and past Stiefel lectures can be found here.