I am a professor in the MIT EECS Department and a member of CSAIL. I received my Ph.D. from MIT in 2011. Prior to joining the MIT's faculty, I spent a year as a postdoctoral researcher at Microsoft Research New England and then I was on the faculty of EPFL until early 2015.I am the Director of the MIT Center for Deployable Machine Learning and a Faculty Co-Lead of the MIT AI Policy Forum.
My research spans machine learning, optimization and algorithmic graph theory. In particular, I have a strong interest in building on the existing machine learning techniques to forge a decision-making toolkit that is reliable and well-understood enough to be safely and responsibly deployed in the real world.
EdX
Embark on an exciting journey into the world of data exploration! This course teaches you how to harness the potential of data and basic machine learning techniques to understand the world around us. From speech recognition to self-driving cars, learn how we've taught machines to analyze information and make decisions.