Mądry Lab

Towards a Principled Science of Deep Learning

The primary focus of our lab is the science of modern machine learning. We aim to combine theoretical and empirical insights to build a principled and thorough understanding of key techniques in machine learning, such as deep learning, as well as the challenges we face in this context. A major theme in our investigations is rethinking machine learning from the perspective of security and robustness.

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Faculty: Aleksander Mądry

Graduate Students: Andrew Ilyas, Aleksandar Makelov, Shibani Santurkar, Brandon Tran, Dimitris Tsipras, Kai Xiao

Undergraduate Students: Logan Engstrom, Nur Muhammad Shafiullah, Alexander Turner

Affiliated Researchers: Jerry Li, Ludwig Schmidt

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