Eric Wong is a postdoctoral researcher in the Computer Science and Artificial Intelligence Laboratory at Massachusetts Institute of Technology, advised by Aleksander Madry. His work focuses on the foundations of robust systems, building on elements of machine learning and optimization to diagnose, understand, and develop reliable systems for real-world settings. He is a 2020 Siebel Scholar and received an honorable mention for his thesis on the robustness of deep networks to adversarial examples at Carnegie Mellon University.

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