My research interests are in combinatorial problems, in particular scheduling problems, and the analysis and design of approximation algorithms. I'm currently interested in applications related to control and energy/power management, and dealing with uncertainty in these settings. Additionally, I'm interested in general convex optimization, machine learning, and operations research problems with real-life applications.

I hold a B.S. in Electrical Engineering/Industrial Engineering (double major) and a M.S. in Control Systems from Pontificia Universidad Católica de Chile, where I developed nonlineal models for control and fault detection and diagnosis systems applied to mobile robotics. Later, I obtained a Ph.D. from the Industrial Engineering & Operations Research Department at Columbia University, where I worked with professors Garud Iyengar and Cliff Stein, building algorithms for several energy management related optimization problems.

If you are interested in knowing more about what I do, you can find a list of my current publications here: Publications, with preprints of some of the articles if possible.