Mądry Lab

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, robustness and reliability.

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Faculty: Aleksander Mądry

Graduate Students: Andrew Ilyas, Logan Engstrom, Saachi Jain, Guillaume Leclerc, Aleksandar Makelov, Sung Min (Sam) Park, Hadi Salman, Shibani Santurkar, Dimitris Tsipras, Kai Xiao

Postdoctoral Researchers: Eric Wong

Undergraduate Students: Kaveri Nadhamuni

Affiliated Researchers: Jerry Li

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

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