For the past four years, we have featured conversations with experts on current research topics in the ETH podcast. At the moment the podcast is taking an indefinite break. Until we launch a new podcast format, 43 exciting episodes are available for you to listen to. The alumni podcast "We Are ETH", a podcast series featuring stories from alumni and friends of ETH Zurich moved to its own channel: https://circle.ethz.ch/podcast/ -- ETH Zurich – Where the future begins! Our university for science and technology dates back to the year 1855, when the founders of modern-day Switzerland created it as a centre of innovation and knowledge. At ETH Zurich, students discover an ideal environment for independent thinking, researchers a climate which inspires top performance. Situated in the heart of Europe, yet forging connections all over the world, ETH Zurich is pioneering effective solutions to the global challenges of today and tomorrow. ETH Zurich has an excellent reputation in scientific circles: 21 Nobel laureates have studied, taught or researched here, and ETH regularly ranks as one of the world’s top universities.
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episode 68: George Szpiro
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George Szpiro is an Israeli-Swiss applied mathematician and journalist who made a name for himself as the author of popular mathematical essays and books.
George studied mathematics and physics at ETH Zurich, business administration at Stanford University, and received his PhD in mathematical economics from the Hebrew University in Jerusalem in 1984. Along the way, he worked as a management consultant for McKinsey in Zurich, Munich, and London.
He became the Israel correspondent for the Neue Zürcher Zeitung (NZZ) in Jerusalem in 1986, and he was reassigned to the US in 2012. After the newspaper deadline, George would continue writing at night on science and maths topics. He has written 7 books to date. His latest book on paradoxes will be published in 2023.
As a scientist, his research interests are in financial mathematics, risk theory, genetic algorithms, and their use in predicting regularities in time series.
This is his story.
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