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Aleksander Mądry

I am an NBX Career Development Associate Professor of Computer Science in the MIT EECS Department, a member of CSAIL and of the Theory of Computation group. 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.

Research Interests: My research aims to identify and tackle key algorithmic challenges in today's computing. My goal is to develop theoretical ideas and tools that, ultimately, will change the way we approach optimization -- in all shapes and forms, both in theory and in practice.

So far, my work revolved around two broad topics: algorithmic graph theory, and coping with uncertainty in the context of optimization. But I am always interested in exploring new topics, especially if they touch on some fundamental aspect of optimization. A recurrent theme in my research is combining the traditional, mostly combinatorial in nature, algorithmic toolkit with a variety of continuous optimization techniques to come up with new ways to approach classic questions in the field.

I am also interested in understanding machine learning from a security/robustness perspective and in building the science of modern ML.

To read about my work in machine learning, see here.

Email: madry@mit.edu    My Curriculum Vitae

Interested in working with me? Apply to our PhD program! (Please do not email me regarding this matter - just mention my name in your application.)
Also, please do not contact me regarding internship positions (unless you are an MIT student).

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