I am an Associate Professor in the Computer Science Department at Carnegie Mellon University. My research interests lie in the broad area of applied probability, with a focus on decision-making in large stochastic systems. I have worked on problems in queueing systems, Markov decision processes, and reinforcement learning. Many of the problem formulations I have studied are motivated by resource orchestration in modern computing systems. In addition to decision-making problems, I have also worked on large random graphs, with a focus on characterizing statistical limits and computational limits, and data privacy, especially at its intersection with information theory and game theory. My research is driven by a dual objective: to understand fundamental limits, and to design algorithms and approaches to achieve them.