My research interests lie in machine learning, statistics and optimization. The primary goal of my Ph.D. research is to design better learning algorithms that are theoretically sound, and efficient in sample complexity, runtime and space. To achieve this goal, my research has focused on providing a deeper understanding of fundamental questions in nonconvex optimization and recently in reinforcement learning.