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Email : clement.royer(at)
Clément Royer
Université Paris Dauphine-PSL
Place du Maréchal de Lattre de Tassigny
75016 Paris
I am also on Google Scholar and Twitter.

Clément W. Royer

Associate professor, Université Paris Dauphine-PSL

Pour la version française de cette page, cliquez ici.

Latest news

  • New preprint A nonlinear conjugate gradient method with complexity guarantees and its application to nonconvex regression, co-authored with R. Chan--Renous-Legoubin.

  • I have the pleasure to host Florentin Goyens as a postdoctoral researcher within Université Paris Dauphine-PSL. Florentin's position is supported by PRAIRIE, the Parisian 3IA Center on Artificial Intelligence. Welcome!

    Short bio

  • September 1st, 2019: Joined Université Paris Dauphine-PSL as a maître de conférences (equivalent to associate professor, with tenure granted on September 1st, 2020).

  • November 2016-August 2019: Postdoctoral research associate within the Wisconsin Institute for Discovery, in Madison, Wisconsin (USA). I was fortunate to work in the group of Stephen J. Wright.

  • November 4, 2016: PhD in applied mathematics from the university of Toulouse, delivered by the Université Toulouse III Paul Sabatier. Prepared at the Institut de Recherche en Informatique de Toulouse, under the joint supervision of Serge Gratton and Luís Nunes Vicente.

  • For more information, you can have a look at my vitae in a short or extended format.

    Research interests

    My research essentially revolves around the field of numerical optimization and its applications, particularly in complex systems and data science.
    My current work aims at developing efficient nonconvex optimization algorithms, with a focus on incorporating randomness (typically within linear algebra techniques), and establishing complexity guarantees for those frameworks.
    Following the lines of my Ph.D., I also maintain a high interest in derivative-free optimization and its applications to solving simulation-based problems.

    This page was designed by Clothilde Royer, many thanks to her.
    Materials on this page are available under Creative Commons CC BY-NC 4.0 license.