This speaker was a visiting speaker who delivered a talk or talks on the date(s) shown at the links below. This speaker is not otherwise associated with Lawrence Berkeley National Laboratory, unless specifically identified as a Berkeley Lab staff member.
Victor M. Zavala is an assistant computational mathematician in the Mathematics and Computer Science Division at Argonne National Laboratory and he is a fellow in the Computation Institute at the University of Chicago. He received his B.Sc. degree from Universidad Iberoamericana (2003) and his Ph.D. degree from Carnegie Mellon University (2008), both in chemical engineering. He is currently a recipient of the DOE Office of Science Early Career Award under which he develops scalable algorithms for optimization under uncertainty. He also leads an advanced grid modeling project funded by DOE Office of Electricity to develop and test large-scale power grid models and he participates in the Multifaceted Mathematics for Complex Energy Systems project funded by DOE Office of Science. His research interests are in the areas of mathematical modeling of energy and power systems, uncertainty modeling, stochastic optimization, and real-time operations.