She got her PhD at the University of California Berkeley. Her advisor was Umesh Vazirani. Her interests lie in theoretical computer science and, more specifically, spectral graph theory and convex ...

One course in optimization (including primal ... Topics include graph theory, algorithms for solving linear equations, iterative methods for convex problems, synchronous and asynchronous setups, ...

and drawing techniques from convex analysis, game theory, optimization, and statistics. Before coming to Boulder, Rafael was a postdoc at the Center for Research on Computation and Society at Harvard ...