Franck Iutzeler

Research Topics

I am broadly working in the convex hull of numerical optimization, data science, and distributed methods.

Right now, I am very interested in what happens when optimization algorithms arrive near non-differentiability points, both theoretically and practically:

Recently, I have started working on the smoothing of Wasserstein Distributionally Robust Optimization problems.

I am also eager to work with multi-agent systems, especially when the communications between agents are difficult (asynchronous, costly, or intermittant for example):

Before that, I studied how randomized monotone operators could help solve practial problems in a distributed fashion:


PhD Students

Past students

Master Students