Teaching Institute (CERES-ERTI), of École Normale Supérieure in Paris from November 2002 until September 2010 and as a Head of the Geosciences Department of ENS from July 2003 until December 2009, where he was also a Distinguished Professor of Geosciences from September 2002 until September 2012. Since October 2003 until today, he is a Distinguished Research Professor of Atmospheric and Oceanic Sciences at the University of California, Los Angeles. He is also a Distinguished Professor Emeritus at École Normale Supérieure, Paris from September 2012. Research Ghil has played an important role in the foundations of modern theoretical climate dynamics. During the late 1970s, he worked in the application of dynamical systems theory to problems of the climate sciences. Starting from the work of Budyko and Sellers, Ghil proposed a 1D Energy Balance Model able to provide a succinct but essentially correct description of the climate system. Ghil’s analysis complemented the ones by Budyko and Sellers and played a key role for understanding the multistability of the Earth system, which features competing snowball and warm states. Paleoclimatological evidence that the Earth had indeed experienced snowball episodes in the Pre-Cambrian emerged in the 1990s. Energy balance models like Ghil’s, once supplemented with stochastic forcings (along the direction of Hasselmann’s programme) led to the discovery of phenomena like stochastic resonance. Throughout the 1980s and 1990s Ghil contributed to the development of data assimilation techniques in meteorology and oceanography, and to the theory of low-frequency variability of the atmosphere (with a special emphasis on the study of blocking), as well as to the understanding of large-scale ocean dynamics. He introduced the use of advanced spectral methods for the analysis of chaotic geophysical time series, and most prominently the singular-spectrum analysis technique (SSA). In the 2000s, he extended his studies of the El Niño-Southern Oscillation phenomenon (ENSO) using Boolean delay and delay differential equations, and worked on the statistics and dynamics of extreme events. Recently, Ghil proposed the pullback attractor as a mathematical framework able to encompass the random and time-dependent nature of the climate system. Another area of research has been the development of data-driven methods for reconstructing the surrogate dynamics of partially observed systems. Additionally, he has contributed to data analysis and modeling in macroeconomics and population dynamics, as well as to coupled climate-economy-biosphere modeling. Honors and awards 2022 American Physical Society Fellow 2012 A. Wegener Medal & Honorary Member, European Geosciences Union