I work in developing applications of machine learning to develop tools and mechanisms to solve critical problems in areas such as education, air quality monitoring, and recommendation systems. I also explore the foundations of machine learning in various areas such as extreme multi-label classification with hundreds of millions of labels, learning algorithms immune to adversarial attacks, scalable non-convex optimization, and statistical learning theory.