My work lies at the intersection between artificial intelligence, computer science, operations research, and economics. My primary research interest focuses on the development and application of optimization methods for internet advertisement markets, as well as optimization related to convex-concave saddle point problems, with applications to equilibrium finding in games. Through my research, I strive to understand how optimization techniques can be leveraged to inform better decisions and outcomes under conditions involving uncertainty, hidden information, and different incentives for the agents involved.