Julien Guyon joined the Applied Probability team at CERMICS on September 1, 2022, after working as a quantitative researcher in the financial industry for 16 years at Societe Generale (Paris, 2006-2012) and Bloomberg L.P. (New York, 2012-2022). Julien was also an adjunct professor in the Department of Mathematics at Columbia University and at the Courant Institute of Mathematical Sciences, NYU, from 2015 to 2022; and previously at Universite Paris Diderot and Ecole des Ponts ParisTech. Julien serves as an Associate Editor for Finance & Stochastics, SIAM Journal on Financial Mathematics, and Journal of Dynamics and Games, as well as a Managing Editor for Quantitative Finance. He is also a Louis Bachelier Fellow. His main research interests include nonlinear option pricing, volatility and correlation modeling and calibration, (nonlinear) optimal transport, and numerical probability.
A big soccer fan, Julien has also developed a strong interest in sports analytics, and has published several articles on FIFA and UEFA competitions both in academic journals and in top-tier newspapers (The New York Times, The Times, Le Monde, El Pais, etc.) including a new, fairer draw method for the FIFA World Cup. Some of his suggestions for draws and competition formats have already been adopted by FIFA and UEFA.

Julien Guyon joined the Applied Probability team at CERMICS on September 1, 2022, after working as a quantitative researcher in the financial industry for 16 years at Societe Generale (Paris, 2006-2012) and Bloomberg L.P. (New York, 2012-2022). Julien was also an adjunct professor in the Department of Mathematics at Columbia University and at the Courant Institute of Mathematical Sciences, NYU, from 2015 to 2022; and previously at Universite Paris Diderot and Ecole des Ponts ParisTech. Julien serves as an Associate Editor for Finance & Stochastics, SIAM Journal on Financial Mathematics, and Journal of Dynamics and Games, as well as a Managing Editor for Quantitative Finance. He is also a Louis Bachelier Fellow. His main research interests include nonlinear option pricing, volatility and correlation modeling and calibration, (nonlinear) optimal transport, and numerical probability.