Aleksander Madry is a Professor of Computer Science in the MIT EECS Department, a member of CSAIL and of the Theory of Computation group. He received his Ph.D. from MIT in 2011. Prior to joining the MIT’s faculty, he spent a year as a postdoctoral researcher at Microsoft Research New England and then he was on the faculty of EPFL until early 2015. He is the Director of the MIT Center for Deployable Machine Learning and the Faculty Lead of the CSAIL-MSR Trustworthy and Robust AI Collaboration. Research Interests: His research spans algorithmic graph theory, optimization and machine learning. In particular, he 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.