My research focuses on the design and analysis of algorithms for efficient learning and planning in sequential decision-making problems under uncertainty. Most of my work is motivated by real-world problems (e.g., navigation of planetary rovers in unknown environments, optimal routing for resource-constrained systems in stochastic networks) and involves using mathematical tools from the areas of control theory, optimization, motion planning, and machine learning.