Felipe Atenas

In March 2026, I will be joining the Center for Mathematical Modeling (CMM) at Universidad de Chile as a Postdoctoral Fellow. Until recently, I was a Research Fellow in the School of Mathematics and Statistics at the University of Melbourne.

My work focuses on optimisation theory and algorithms with applications in machine learning and operations research. I design and analyse decomposition methods for structured optimisation problems, namely, methods that exploit favourable structures by breaking large-scale models into smaller, more tractable pieces, and leverage on the underlying mathematical properties to recover proper, fitting solutions. I draw tools from nonlinear programming, variational analysis, convex optimisation, and stochastic programming.