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, Guillaume Leclerc, Aleksandar Makelov, Shibani Santurkar, Brandon Tran, Dimitris Tsipras, Kai Xiao

Undergraduate Students: Logan Engstrom, Samarth Gupta, Calvin Lee, Cynthia Liu, Tarek Mansour, Vivek Miglani, Nur Muhammad Shafiullah, Michael Sun, Loc Trinh, Alexander Turner, Abhinav Venigalla, Tony Wang, Andy Wei, Wendy Wei, Brandon Zeng, Jeffrey Zhang

Affiliated Researchers: Jerry Li, Ludwig Schmidt

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