Melih Elibol is a second year graduate student at UC Berkeley, advised by Michael I. Jordan and Ion Stoica. His interests lie at the intersection of Machine Learning and Systems. More recently, his research has focused on scalable algorithms for discrete and continuous non-convex optimization.