My work lies at the intersection of algorithms and machine learning. I have been working on expoential acceleration of submodular optimization , optimization under noise, adversarial machine learning, data-driven algorithm design, and the power and limitations of decisions when the input is learned from data. More broadly my interests include machine learning, approximation algorithms, optimization, information networks, game theory, and mechanism design. For more information see my research statement and publications.