Introduction

David Ginsbourger is heading the Uncertainty Quantification and Spatial Statistics Group and serving as Director of Studies in Statistics at the University of Bern, where I he is co-directing the Institute of Mathematical Statistics and Actuarial Science. At the University of Bern, he is also a member of the Oeschger Center for Climate Change Research, the Center for Artificial Intelligence in Medecine, and the Multidisciplinary Center for Infectious Diseases. On the editorial side, he is serving as Associate Editor of SIAM/ASA Journal on Uncertainty Quantification, Technometrics, and regularly as Area Chair / Meta-Reviewer for major Machine Learning conferences (e.g., ICML 2023, AISTATS 2024).

Guillaume Obozinski is Deputy Executive Director and Chief Data Scientist at the Swiss Data Science Center. He graduated with a PhD in Statistics from UC Berkeley in 2009. He did his postdoc and held until 2012 a researcher position in the Willow and Sierra teams at INRIA and Ecole Normale Supérieure in Paris. He was then Research Faculty at Ecole des Ponts ParisTech until 2018.

Prof. Martin Vetterli is the President of École Polytechnique Fédérale de Lausanne (EPFL) since January 2017.  He is also a full professor at EPFL’s AudioVisual Communications Laboratory and an expert in the Swiss education and research landscape.

Martin Vetterli got his Electrical Engineering degree from ETH Zurich, a Master degree from Stanford University and his PhD from EPFL. He worked as a professor at Columbia University, at the University of California at Berkeley before joining EPFL as a full professor in 1995. He later served as EPFL’s vice president of international relations then of institutional affairs from 2004 to 2011, and as Dean of the School of Computer and Communication Sciences in 2011 and 2012, and, from 2013 to 2016, Prof. Vetterli was the president of the National Research Council of the Swiss National Science Foundation.

He works in the areas of electrical engineering, computer sciences and applied mathematics. His work covers wavelet theory and applications, image and video compression, self-organized communications systems and sensor networks, as well as fast algorithms, and has led to more than 200 journal papers, as well as about 50 patents or patent applications.

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