Aleksander Madry is the Cadence Design Systems Professor of Computing in the MIT EECS Department and a member of CSAIL. Madry received his Ph.D. from MIT in 2011. Prior to joining the MIT's faculty, Madry spent a year as a postdoctoral researcher at Microsoft Research New England and then was on the faculty of EPFL until early 2015. Madry is the Director of the MIT Center for Deployable Machine Learning and a Faculty Co-Lead of the MIT AI Policy Forum.

His research spans machine learning, optimization and algorithmic graph theory. In particular, Madry has 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.

Artificial Intelligence, Computer Science, Robotics, Machine Learning Data, Academic, Professors, College,